Technology
IBM RELEASES THIRD-QUARTER RESULTS
Published
2 years agoon
By
Accelerated Software revenue growth, expanded gross profit margin, and strong free cash flow
ARMONK, N.Y., Oct. 23, 2024 /PRNewswire/ — IBM (NYSE: IBM) today announced third-quarter 2024 earnings results.
“Our third-quarter performance was led by double-digit growth in Software, including a re-acceleration in Red Hat. We continue to see great momentum in AI as our models are trusted, fit-for-purpose, and lower cost, with performance leadership. Our generative AI book of business now stands at more than $3 billion, up more than $1 billion quarter to quarter,” said Arvind Krishna, IBM chairman, president and chief executive officer. “Heading into the final quarter of 2024, we expect fourth-quarter constant currency revenue growth to be consistent with the third quarter, with continued strength in Software. We are confident in our ability to deliver more than $12 billion in free cash flow for the year, driven by continued expansion of our operating margins.”
Third-Quarter Highlights
Revenue
– Revenue of $15.0 billion, up 1 percent, up 2 percent at constant currency
– Software revenue up 10 percent
– Consulting revenue flat
– Infrastructure revenue down 7 percent
Profit
– Gross Profit Margin: GAAP: 56.3 percent, up 190 basis points; Operating (Non-GAAP):
57.5 percent, up 210 basis points
Cash Flow
– Year to date, net cash from operating activities of $9.1 billion; free cash flow of $6.6 billion
THIRD-QUARTER 2024 INCOME STATEMENT SUMMARY
GAAP results include impact of one-time, non-cash pension settlement charge (1)
Revenue
Gross
Profit
Gross
Profit
Margin
Pre-tax
Income/
(Loss) (1)
Pre-tax
Income
Margin (1)
Net
Income/
(Loss) (1)
Diluted
Earnings/
(Loss) Per
Share (1)
GAAP from
Continuing
Operations
$ 15.0 B
$ 8.4 B
56.3
%
$ (0.8) B
(5.4)
%
$ (0.3) B
$ (0.34)
Year/Year
1
%(2)
5
%
1.9
Pts
NM
-18.1
Pts
NM
NM
Operating
(Non-GAAP)
$ 8.6 B
57.5
%
$ 2.5 B
16.6
%
$ 2.2 B
$ 2.30
Year/Year
5
%
2.1
Pts
8
%
1.0
Pts
6
%
5
%
(1) 2024 GAAP results include the impact of a one-time, non-cash, pension settlement charge of $2.7 billion ($2.0 billion net of tax) related
to the transfer of a portion of the company’s U.S. defined benefit pension obligations and related plan assets to a third-party insurer,
announced in September 2024.
(2) 2% at constant currency.
“Our investments are paying off in Software as we’ve repositioned our portfolio in recent years. In the third quarter, Software delivered broad-based growth and now represents nearly 45 percent of our total revenue. Our ongoing focus on product mix, coupled with our productivity initiatives enables us to continue to drive operating leverage in our underlying profit performance,” said James Kavanaugh, IBM senior vice president and chief financial officer. “With our strong cash generation, we are well-positioned to continue investing for growth while returning value to shareholders through dividends.”
Segment Results for Third Quarter
Software — revenues of $6.5 billion, up 9.7 percent, up 9.6 percent at constant currency:
– Hybrid Platform & Solutions up 10 percent
— Red Hat up 14 percent
— Automation up 13 percent
— Data & AI up 5 percent
— Security down 1 percent
– Transaction Processing up 9 percent
Consulting — revenues of $5.2 billion, down 0.5 percent, down 0.2 percent at constant currency:
– Business Transformation up 2 percent
– Technology Consulting down 4 percent
– Application Operations down 1 percent
Infrastructure — revenues of $3.0 billion, down 7.0 percent, down 6.7 percent at constant currency:
– Hybrid Infrastructure down 9 percent
— IBM Z down 19 percent
— Distributed Infrastructure down 3 percent
– Infrastructure Support down 4 percent, down 3 percent at constant currency
Financing — revenues of $0.2 billion, down 2.5 percent, down 1.3 percent at constant currency
Cash Flow and Balance Sheet
In the third quarter, the company generated net cash from operating activities of $2.9 billion, down $0.2 billion year to year. IBM’s free cash flow was $2.1 billion, up $0.4 billion year to year. The company returned $1.5 billion to shareholders in dividends in the third quarter.
For the first nine months of the year, the company generated net cash from operating activities of $9.1 billion, down $0.4 billion year to year. IBM’s free cash flow was $6.6 billion, up $1.5 billion year to year.
IBM ended the third quarter with $13.7 billion of cash, restricted cash and marketable securities, up $0.3 billion from year-end 2023. Debt, including IBM Financing debt of $10.4 billion, totaled $56.6 billion, flat year to date.
Expectations
Revenue: The company expects fourth-quarter constant currency revenue growth consistent with the third quarter. At current foreign exchange rates, currency is expected to be about a half-point headwind to revenue growth in the quarter
Free cash flow: The company continues to expect more than $12 billion in free cash flow for the full year
Forward-Looking and Cautionary Statements
Except for the historical information and discussions contained herein, statements contained in this release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company’s current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially, including, but not limited to, the following: a downturn in economic environment and client spending budgets; a failure of the company’s innovation initiatives; damage to the company’s reputation; risks from investing in growth opportunities; failure of the company’s intellectual property portfolio to prevent competitive offerings and the failure of the company to obtain necessary licenses; the company’s ability to successfully manage acquisitions, alliances and dispositions, including integration challenges, failure to achieve objectives, the assumption of liabilities and higher debt levels; fluctuations in financial results; impact of local legal, economic, political, health and other conditions; the company’s failure to meet growth and productivity objectives; ineffective internal controls; the company’s use of accounting estimates; impairment of the company’s goodwill or amortizable intangible assets; the company’s ability to attract and retain key employees and its reliance on critical skills; impacts of relationships with critical suppliers; product quality issues; impacts of business with government clients; reliance on third party distribution channels and ecosystems; cybersecurity and data privacy considerations; adverse effects related to climate change and environmental matters; tax matters; legal proceedings and investigatory risks; the company’s pension plans; currency fluctuations and customer financing risks; impact of changes in market liquidity conditions and customer credit risk on receivables; potential failure of the separation of Kyndryl Holdings, Inc. to qualify for tax-free treatment; risk factors related to IBM securities; and other risks, uncertainties and factors discussed in the company’s Form 10-Qs, Form 10-K and in the company’s other filings with the U.S. Securities and Exchange Commission or in materials incorporated therein by reference.
Statements in this communication regarding the strategic acquisition that are forward-looking may include projections as to closing date for the transaction, the extent of, and the time necessary to obtain, the regulatory approvals required for the transaction, the anticipated benefits of the transaction, the impact of the transaction on IBM’s business, the synergies from the transaction, and the combined company’s future operating results.
Any forward-looking statement in this release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements.
Presentation of Information in this Press Release
For generative AI, book of business includes Software transactional revenue, SaaS Annual Contract Value and Consulting signings. The generative AI book of business is further defined within Exhibit 99.2 in the Form 8-K that includes this press release.
In an effort to provide investors with additional information regarding the company’s results as determined by generally accepted accounting principles (GAAP), the company has also disclosed in this press release the following non-GAAP information, which management believes provides useful information to investors:
IBM results —
adjusting for currency (i.e., at constant currency);
presenting operating (non-GAAP) earnings per share amounts and related income statement items;
free cash flow;
adjusted EBITDA.
The rationale for management’s use of these non-GAAP measures is included in Exhibit 99.2 in the Form 8-K that includes this press release and is being submitted today to the SEC.
Conference Call and Webcast
IBM’s regular quarterly earnings conference call is scheduled to begin at 5:00 p.m. ET, today. The Webcast may be accessed via a link at https://www.ibm.com/investor/events/earnings-3q24. Presentation charts will be available shortly before the Webcast.
Financial Results Below (certain amounts may not add due to use of rounded numbers; percentages presented are calculated from the underlying whole-dollar amounts).
Contact: IBM
Sarah Meron, 347-891-1770
sarah.meron@ibm.com
Tim Davidson, 914-844-7847
tfdavids@us.ibm.com
INTERNATIONAL BUSINESS MACHINES CORPORATION
COMPARATIVE FINANCIAL RESULTS
(Unaudited; Dollars in millions except per share amounts)
Three Months Ended
September 30,
Nine Months Ended
September 30,
2024
2023 (1)
2024
2023 (1)
REVENUE BY SEGMENT
Software
$ 6,524
$ 5,947
$ 19,162
$ 17,832
Consulting
5,152
5,178
15,517
15,601
Infrastructure
3,042
3,272
9,764
9,988
Financing
181
186
543
566
Other
68
170
214
491
TOTAL REVENUE
14,968
14,752
45,199
44,479
GROSS PROFIT
8,420
8,023
25,112
24,033
GROSS PROFIT MARGIN
Software
83.2
%
82.3
%
83.1
%
82.3
%
Consulting
28.4
%
27.6
%
26.7
%
26.3
%
Infrastructure
55.0
%
53.7
%
55.3
%
54.0
%
Financing
47.2
%
49.7
%
48.2
%
47.5
%
TOTAL GROSS PROFIT MARGIN
56.3
%
54.4
%
55.6
%
54.0
%
EXPENSE AND OTHER INCOME
S,G&A
4,911
4,458
14,823
14,212
R,D&E
1,876
1,685
5,512
5,027
Intellectual property and custom development income
(238)
(190)
(696)
(618)
Other (income) and expense
2,244
(215)
1,694
(721)
Interest expense
429
412
1,288
1,202
TOTAL EXPENSE AND OTHER INCOME
9,222
6,150
22,621
19,102
INCOME/(LOSS) FROM CONTINUING OPERATIONS
BEFORE INCOME TAXES
(802)
1,873
2,491
4,931
Pre-tax margin
(5.4)
%
12.7
%
5.5
%
11.1
%
Provision for/(Benefit from) income taxes
(485)
159
(597)
702
Effective tax rate
60.4
%
8.5
%
(24.0)
%
14.2
%
INCOME/(LOSS) FROM CONTINUING OPERATIONS
$ (317)
$ 1,714
$ 3,088
$ 4,229
DISCONTINUED OPERATIONS
Income/ (loss) from discontinued operations, net of taxes
(13)
(10)
21
(15)
NET INCOME/(LOSS) (2)
$ (330)
$ 1,704
$ 3,109
$ 4,214
EARNINGS/(LOSS) PER SHARE OF COMMON STOCK (2)
Assuming Dilution
Continuing Operations
$ (0.34)
$ 1.86
$ 3.30
$ 4.59
Discontinued Operations
$ (0.01)
$ (0.01)
$ 0.02
$ (0.02)
TOTAL
$ (0.36)
$ 1.84
$ 3.32
$ 4.58
Basic
Continuing Operations
$ (0.34)
$ 1.88
$ 3.36
$ 4.65
Discontinued Operations
$ (0.01)
$ (0.01)
$ 0.02
$ (0.02)
TOTAL
$ (0.36)
$ 1.87
$ 3.38
$ 4.63
WEIGHTED-AVERAGE NUMBER OF COMMON SHARES
OUTSTANDING (M’s)
Assuming Dilution
923.6
923.7
935.4
920.3
Basic
923.6
912.8
920.3
910.1
____________________
(1) Recast to reflect January 2024 segment changes.
(2) 2024 includes the impact of a one-time, non-cash, pension settlement charge of $2.7 billion ($2.0 billion net of tax).
INTERNATIONAL BUSINESS MACHINES CORPORATION
CONDENSED CONSOLIDATED BALANCE SHEET
(Unaudited)
(Dollars in Millions)
At
September 30,
2024
At
December 31,
2023
ASSETS:
Current Assets:
Cash and cash equivalents
$ 13,197
$ 13,068
Restricted cash
17
21
Marketable securities
505
373
Notes and accounts receivable – trade, net
5,390
7,214
Short-term financing receivables, net
5,765
6,793
Other accounts receivable, net
928
640
Inventories
1,367
1,161
Deferred costs
966
998
Prepaid expenses and other current assets
2,408
2,639
Total Current Assets
30,543
32,908
Property, plant and equipment, net
5,614
5,501
Operating right-of-use assets, net
3,355
3,220
Long-term financing receivables, net
4,931
5,766
Prepaid pension assets
7,975
7,506
Deferred costs
788
842
Deferred taxes
6,943
6,656
Goodwill
61,092
60,178
Intangibles, net
11,090
11,036
Investments and sundry assets
2,009
1,626
Total Assets
$ 134,339
$ 135,241
LIABILITIES:
Current Liabilities:
Taxes
$ 1,584
$ 2,270
Short-term debt
3,599
6,426
Accounts payable
3,274
4,132
Deferred income
12,882
13,451
Operating lease liabilities
790
820
Other liabilities
6,725
7,022
Total Current Liabilities
28,853
34,122
Long-term debt
52,980
50,121
Retirement-related obligations
10,366
10,808
Deferred income
3,666
3,533
Operating lease liabilities
2,757
2,568
Other liabilities
11,186
11,475
Total Liabilities
109,809
112,628
EQUITY:
IBM Stockholders’ Equity:
Common stock
61,013
59,643
Retained earnings
149,789
151,276
Treasury stock – at cost
(169,935)
(169,624)
Accumulated other comprehensive income/(loss)
(16,418)
(18,761)
Total IBM Stockholders’ Equity
24,448
22,533
Noncontrolling interests
82
80
Total Equity
24,530
22,613
Total Liabilities and Equity
$ 134,339
$ 135,241
INTERNATIONAL BUSINESS MACHINES CORPORATION
CASH FLOW ANALYSIS
(Unaudited)
Three Months Ended
September 30,
Nine Months Ended
September 30,
(Dollars in Millions)
2024
2023
2024
2023
Net Cash from Operations per GAAP
$ 2,881
$ 3,055
$ 9,115
$ 9,468
Less: change in IBM Financing receivables
873
1,092
1,824
3,119
Capital Expenditures, net
55
(282)
(705)
(1,226)
Free Cash Flow
2,064
1,682
6,586
5,123
Acquisitions
(2,513)
(4,589)
(2,748)
(4,945)
Divestitures
2
(10)
705
(4)
Dividends
(1,542)
(1,515)
(4,601)
(4,522)
Non-Financing Debt
(383)
(942)
693
7,572
Other (includes IBM Financing net receivables and debt)
131
41
(379)
(1,068)
Change in Cash, Cash Equivalents, Restricted Cash and Short-term
Marketable Securities
$ (2,241)
$ (5,333)
$ 257
$ 2,156
INTERNATIONAL BUSINESS MACHINES CORPORATION
CASH FLOW
(Unaudited)
Three Months Ended
September 30,
Nine Months Ended
September 30,
(Dollars in Millions)
2024
2023
2024
2023
Net Income/(loss) from Operations
$ (330)
$ 1,704
$ 3,109
$ 4,214
Pension Settlement Charge
2,725
–
2,725
–
Depreciation/Amortization of Intangibles (1)
1,268
1,093
3,555
3,243
Stock-based Compensation
330
286
966
843
Operating assets and liabilities/Other, net (2)
(1,984)
(1,119)
(3,063)
(1,952)
IBM Financing A/R
873
1,092
1,824
3,119
Net Cash Provided by Operating Activities
$ 2,881
$ 3,055
$ 9,115
$ 9,468
Capital Expenditures, net of payments & proceeds (3)
55
(282)
(705)
(1,226)
Divestitures, net of cash transferred
2
(10)
705
(4)
Acquisitions, net of cash acquired
(2,513)
(4,589)
(2,748)
(4,945)
Marketable Securities / Other Investments, net
869
2,927
(810)
(3,732)
Net Cash Provided by/(Used in) Investing Activities
$ (1,587)
$ (1,953)
$ (3,558)
$ (9,906)
Debt, net of payments & proceeds
(1,259)
(1,550)
(777)
4,619
Dividends
(1,542)
(1,515)
(4,601)
(4,522)
Financing – Other
35
(67)
(26)
(252)
Net Cash Provided by/(Used in) Financing Activities
$ (2,766)
$ (3,132)
$ (5,403)
$ (154)
Effect of Exchange Rate changes on Cash
207
(119)
(29)
(120)
Net Change in Cash, Cash Equivalents and Restricted Cash
$ (1,264)
$ (2,149)
$ 125
$ (713)
____________________
(1) Includes operating lease right-of-use assets amortization.
(2) Includes a $0.7 billion tax effect associated with the one-time, non-cash pension settlement charge in the third-quarter 2024.
(3) 2024 includes proceeds of $0.4 billion from the sale of certain QRadar SaaS assets.
INTERNATIONAL BUSINESS MACHINES CORPORATION
GAAP NET INCOME TO ADJUSTED EBITDA RECONCILIATION
(Unaudited)
Three Months Ended
September 30,
Nine Months Ended
September 30,
(Dollars in Billions)
2024
2023
Yr/Yr
2024
2023
Yr/Yr
Net Income/(Loss) as reported (GAAP) (1)
$ (0.3)
$ 1.7
$ (2.0)
$ 3.1
$ 4.2
$ (1.1)
Less: Income/(loss) from discontinued operations, net of tax
0.0
0.0
0.0
0.0
0.0
0.0
Income/(Loss) from continuing operations
(0.3)
1.7
(2.0)
3.1
4.2
(1.1)
Provision for/(Benefit from) income taxes from continuing ops.
(0.5)
0.2
(0.6)
(0.6)
0.7
(1.3)
Pre-tax income/(loss) from continuing operations (GAAP)
(0.8)
1.9
(2.7)
2.5
4.9
(2.4)
Non-operating adjustments (before tax)
Acquisition-related charges (2)
0.5
0.4
0.1
1.5
1.2
0.2
Non-operating retirement-related costs/(income) (1)
2.8
0.0
2.8
3.0
0.0
3.0
Operating (non-GAAP) pre-tax income/(loss) from continuing ops.
2.5
2.3
0.2
6.9
6.1
0.8
Net interest expense
0.3
0.3
0.0
0.7
0.7
0.0
Depreciation/Amortization of non-acquired intangible assets
0.7
0.7
0.0
2.1
2.0
0.1
Stock-based compensation
0.3
0.3
0.0
1.0
0.8
0.1
Workforce rebalancing charges
0.3
0.0
0.3
0.7
0.4
0.3
Corporate (gains) and charges (3)
(0.4)
0.0
(0.3)
(0.6)
0.0
(0.6)
Adjusted EBITDA
$ 3.8
$ 3.5
$ 0.2
$ 10.8
$ 10.1
$ 0.8
____________________
(1) 2024 includes the impact of a one-time, non-cash pension settlement charge of $2.7 billion ($2.0 billion net of tax).
(2) Primarily consists of amortization of acquired intangible assets.
(3) Corporate (gains) and charges primarily consists of unique corporate actions such as gains on divestitures and asset sales (e.g., certain QRadar SaaS assets).
INTERNATIONAL BUSINESS MACHINES CORPORATION
SEGMENT DATA
(Unaudited)
Three Months Ended September 30, 2024
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 6,524
$ 5,152
$ 3,042
$ 181
Segment Profit
$ 1,969
$ 559
$ 422
$ 86
Segment Profit Margin
30.2
%
10.9
%
13.9
%
47.5
%
Change YTY Revenue
9.7
%
(0.5)
%
(7.0)
%
(2.5)
%
Change YTY Revenue – Constant Currency
9.6
%
(0.2)
%
(6.7)
%
(1.3)
%
Three Months Ended September 30, 2023 (1)
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 5,947
$ 5,178
$ 3,272
$ 186
Segment Profit
$ 1,722
$ 566
$ 490
$ 91
Segment Profit Margin
29.0
%
10.9
%
15.0
%
49.2
%
__________________
(1) Recast to reflect January 2024 segment changes.
Nine Months Ended September 30, 2024
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 19,162
$ 15,517
$ 9,764
$ 543
Segment Profit
$ 5,582
$ 1,447
$ 1,387
$ 254
Segment Profit Margin
29.1
%
9.3
%
14.2
%
46.9
%
Change YTY Revenue
7.5
%
(0.5)
%
(2.3)
%
(4.1)
%
Change YTY Revenue – Constant Currency
8.0
%
1.1
%
(1.2)
%
(3.1)
%
Nine Months Ended September 30, 2023 (1)
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 17,832
$ 15,601
$ 9,988
$ 566
Segment Profit
$ 4,850
$ 1,476
$ 1,529
$ 256
Segment Profit Margin
27.2
%
9.5
%
15.3
%
45.2
%
____________________
(1) Recast to reflect January 2024 segment changes.
INTERNATIONAL BUSINESS MACHINES CORPORATION
U.S. GAAP TO OPERATING (Non-GAAP) RESULTS RECONCILIATION
(Unaudited; Dollars in millions except per share amounts)
Three Months Ended September 30, 2024
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts
Operating
(Non-GAAP)
Gross Profit
$ 8,420
$ 192
$ —
$ —
$ 8,612
Gross Profit Margin
56.3
%
1.3
pts
—
pts
—
pts
57.5
%
S,G&A
$ 4,911
$ (300)
$ —
$ —
$ 4,611
Other (Income) & Expense
2,244
—
(2,797)
—
(553)
Total Expense & Other (Income)
9,222
(300)
(2,797)
—
6,125
Pre-tax Income/(Loss) from Continuing Operations
(802)
492
2,797
—
2,487
Pre-tax Income Margin from Continuing Operations
(5.4)
%
3.3
pts
18.7
pts
—
pts
16.6
%
Provision for/(Benefit from) Income Taxes (3)
$ (485)
$ 119
$ 700
$ (2)
$ 332
Effective Tax Rate
60.4
%
(7.2)
pts
(39.8)
pts
(0.1)
pts
13.4
%
Income/(Loss) from Continuing Operations
$ (317)
$ 373
$ 2,097
$ 2
$ 2,155
Income Margin from Continuing Operations
(2.1)
%
2.5
pts
14.0
pts
0.0
pts
14.4
%
Diluted Earnings/(Loss) Per Share: Continuing
Operations (4)
$ (0.34)
$ 0.40
$ 2.27
$ 0.00
$ 2.30
Three Months Ended September 30, 2023
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts
Operating
(Non-GAAP)
Gross Profit
$ 8,023
$ 162
$ —
$ —
$ 8,185
Gross Profit Margin
54.4
%
1.1
pts
—
pts
—
pts
55.5
%
S,G&A
$ 4,458
$ (277)
$ —
$ —
$ 4,181
Other (Income) & Expense
(215)
0
12
—
(203)
Total Expense & Other (Income)
6,150
(277)
12
—
5,885
Pre-tax Income/(Loss) from Continuing Operations
1,873
438
(12)
—
2,299
Pre-tax Income Margin from Continuing Operations
12.7
%
3.0
pts
(0.1)
pts
—
pts
15.6
%
Provision for/(Benefit from) Income Taxes (3)
$ 159
$ 99
$ (14)
$ 24
$ 268
Effective Tax Rate
8.5
%
2.7
pts
(0.5)
pts
1.0
pts
11.7
%
Income/(Loss) from Continuing Operations
$ 1,714
$ 340
$ 1
$ (24)
$ 2,031
Income Margin from Continuing Operations
11.6
%
2.3
pts
0.0
pts
(0.2)
pts
13.8
%
Diluted Earnings/(Loss) Per Share: Continuing
Operations
$ 1.86
$ 0.37
$ 0.00
$ (0.03)
$ 2.20
____________________
(1) Includes amortization of purchased intangible assets, in process R&D, transaction costs, applicable restructuring and related expenses, tax charges related to acquisition integration and pre-closing charges, such as financing costs.
(2) Includes amortization of prior service costs, interest cost, expected return on plan assets, amortized actuarial gains/losses, the impacts of any plan curtailments/settlements and pension insolvency costs and other costs. 2024 also includes the impact of a one-time, non-cash, pre-tax pension settlement charge of $2.7 billion ($2.0 billion net of tax).
(3) Tax impact on operating (non-GAAP) pre-tax income from continuing operations is calculated under the same accounting principles applied to the As Reported pre-tax income under ASC 740, which employs an annual effective tax rate method to the results.
(4) Operating (non-GAAP) earnings per share was calculated using 938.4 million shares, which includes 14.9 million dilutive potential shares under our stock-based compensation plans and contingently issuable shares. Due to the GAAP net loss for the three months ended September 30, 2024, these dilutive potential shares were excluded from the GAAP loss per share calculation as the effect would have been antidilutive. The difference in share count resulted in an additional $(0.04) reconciling item.
INTERNATIONAL BUSINESS MACHINES CORPORATION
U.S. GAAP TO OPERATING (Non-GAAP) RESULTS RECONCILIATION
(Unaudited; Dollars in millions except per share amounts)
Nine Months Ended September 30, 2024
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts (3)
Operating
(Non-GAAP)
Gross Profit
$ 25,112
$ 533
$ —
$ —
$ 25,645
Gross Profit Margin
55.6
%
1.2
pts
—
pts
—
pts
56.7
%
S,G&A
$ 14,823
$ (854)
$ —
$ —
$ 13,969
Other (Income) & Expense
1,694
(68)
(2,991)
—
(1,364)
Total Expense & Other (Income)
22,621
(922)
(2,991)
—
18,709
Pre-tax Income/(Loss) from Continuing Operations
2,491
1,454
2,991
—
6,936
Pre-tax Income Margin from Continuing Operations
5.5
%
3.2
pts
6.6
pts
—
pts
15.3
%
Provision for/(Benefit from) Income Taxes (4)
$ (597)
$ 374
$ 731
$ 434
$ 942
Effective Tax Rate
(24.0)
%
10.4
pts
20.9
pts
6.3
pts
13.6
%
Income/(Loss) from Continuing Operations
$ 3,088
$ 1,081
$ 2,259
$ (434)
$ 5,994
Income Margin from Continuing Operations
6.8
%
2.4
pts
5.0
pts
(1.0)
pts
13.3
%
Diluted Earnings/(Loss) Per Share: Continuing
Operations
$ 3.30
$ 1.16
$ 2.42
$ (0.46)
$ 6.41
Nine Months Ended September 30, 2023
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts
Operating
(Non-GAAP)
Gross Profit
$ 24,033
$ 460
$ —
$ —
$ 24,492
Gross Profit Margin
54.0
%
1.0
pts
—
pts
—
pts
55.1
%
S,G&A
$ 14,212
$ (768)
$ —
$ —
$ 13,444
Other (Income) & Expense
(721)
(2)
16
—
(707)
Total Expense & Other (Income)
19,102
(770)
16
—
18,348
Pre-tax Income from Continuing Operations
4,931
1,229
(16)
—
6,144
Pre-tax Income Margin from Continuing
Operations
11.1
%
2.8
pts
0.0
pts
—
pts
13.8
%
Provision for/(Benefit from) Income Taxes (4)
$ 702
$ 277
$ (27)
$ (91)
$ 861
Effective Tax Rate
14.2
%
1.7
pts
(0.4)
pts
(1.5)
pts
14.0
%
Income from Continuing Operations
$ 4,229
$ 953
$ 11
$ 91
$ 5,283
Income Margin from Continuing Operations
9.5
%
2.1
pts
0.0
pts
0.2
pts
11.9
%
Diluted Earnings Per Share: Continuing
Operations
$ 4.59
$ 1.04
$ 0.01
$ 0.10
$ 5.74
____________________
(1) Includes amortization of purchased intangible assets, in process R&D, transaction costs, applicable restructuring and related expenses, tax charges related to acquisition integration and pre-closing charges, such as financing costs. 2024 also includes a loss of $68 million on foreign exchange derivative contracts entered into by the company prior to the acquisition of StreamSets and webMethods from Software AG.
(2) Includes amortization of prior service costs, interest cost, expected return on plan assets, amortized actuarial gains/losses, the impacts of any plan curtailments/settlements and pension insolvency costs and other costs. 2024 also includes the impact of a one-time, non-cash, pre-tax pension settlement charge of $2.7 billion ($2.0 billion net of tax).
(3) 2024 includes a net benefit from discrete tax events.
(4) Tax impact on operating (non-GAAP) pre-tax income from continuing operations is calculated under the same accounting principles applied to the As Reported pre-tax income under ASC 740, which employs an annual effective tax rate method to the results.
INTERNATIONAL BUSINESS MACHINES CORPORATION
GAAP OPERATING CASH FLOW TO ADJUSTED EBITDA RECONCILIATION
(Unaudited)
Three Months Ended
September 30,
Nine Months Ended
September 30,
(Dollars in Billions)
2024
2023
2024
2023
Net Cash Provided by Operating Activities
$ 2.9
$ 3.1
$ 9.1
$ 9.5
Add:
Net interest expense
0.3
0.3
0.7
0.7
Provision for/(Benefit from) income taxes from continuing operations
(0.5)
0.2
(0.6)
0.7
Less change in:
Financing receivables
0.9
1.1
1.8
3.1
Other assets and liabilities/other, net (1)
(2.0)
(1.2)
(3.5)
(2.3)
Adjusted EBITDA
$ 3.8
$ 3.5
$ 10.8
$ 10.1
____________________
(1) Other assets and liabilities/other, net mainly consists of operating assets and liabilities/Other, net in the Cash Flow chart, workforce
rebalancing charges, non-operating impacts and corporate (gains) and charges.
View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-releases-third-quarter-results-302285120.html
SOURCE IBM
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Skymizer and MiTAC Computing to Showcase a 2.8-Trillion-Parameter AI Model Running on a Single Air-Cooled Server at SC26
Published
30 minutes agoon
November 5, 2026By
2 TB card-memory configuration is designed to fit Kimi K3 within one server for enterprise on-premises deployment
TAIPEI, Nov. 5, 2026 /PRNewswire/ — Skymizer and MiTAC Computing today announced a joint showcase at SC26 featuring Moonshot AI’s Kimi K3—a 2.8-trillion-parameter mixture-of-experts model—running on a single MiTAC server equipped with eight Skymizer HTX301 LPU cards and 2 TB of card-attached memory.
Kimi K3 uses native MXFP4 (quantization-aware trained) weights. The 2 TB memory capacity is designed to accommodate the approximately 1.56 TB weight set while leaving capacity for KV cache. Final memory allocation and supported workloads remain subject to engineering validation.
Skymizer will also participate in ICCAD-Expo 2026 in Beijing on November 19–20 with local partners, bringing the same HTX301 product announcement to audiences in China. Together, the SC26 announcement in Chicago and participation in Beijing give the product announcement a global reach, connecting with enterprise AI customers and partners in both markets.
From COMPUTEX to a larger model platform
The platform builds on Skymizer’s demonstration of Qwen3-VL-30B-A3B, a 30-billion-parameter multimodal MoE model, at COMPUTEX 2026 on June 2–5.
“At COMPUTEX, we demonstrated Qwen3-VL-30B-A3B on our evaluation hardware,” said Luba Tang, Chief Technology Officer of Skymizer. “Our team is currently successfully extending that work to a single-server configuration designed for Kimi K3. LISA™ provides a common instruction set and toolchain as we develop the memory-residency and scheduling capabilities required for larger models.”
“Enterprises want greater control over the models, data, and infrastructure behind their AI services,” said William Wei, Chief Marketing Officer of Skymizer. “Our work with MiTAC aims to make larger open-weight models more practical to deploy on premises. Workload validation remains essential to assessing power, cost, and deployment requirements.”
“At SC26, MiTAC Computing is showcasing scalable, full-stack AI infrastructure solutions designed to support evolving AI workloads. Our collaboration with Skymizer explores Prefill–Decode disaggregation and optimized AI inference deployment across diverse workloads. By combining MiTAC’s server engineering expertise and scalable infrastructure platforms with Skymizer’s inference technologies, we aim to provide customers with greater flexibility and efficiency in AI deployment,” said a MiTAC spokesperson.
Built for enterprise on-premises deployment
For enterprises seeking to operate AI within their own infrastructure, fitting a large open-weight model within one air-cooled server offers a practical direction for deployment. Skymizer’s capacity-first cards and decode-optimized architecture are designed to support that goal while allowing enterprises to retain control over their models, private data, and AI operations. Deployment still requires careful matching of memory, compute, power, and cooling to the workload. The approach targets enterprise needs in financial services, healthcare, government, manufacturing, and semiconductor design, where data governance and operational control are central to adoption.
AI-assisted delivery for enterprise deployment
Bringing ultra-large models on premises also requires a practical path from hardware to a working service. Skymizer is developing an AI-assisted delivery approach to help enterprises select models for their workloads, prepare the software environment, install and configure the inference stack, and validate the deployment before use. The aim is to make these steps more consistent and repeatable while keeping model, data, and deployment decisions under enterprise control.
The approach is designed around shared deployment tools that different AI assistants can use, rather than dependence on a single agent or service. Over time, Skymizer plans to extend this assistance to ongoing operations and maintenance, helping teams diagnose issues and manage updates while retaining human oversight and approval. This work supports Skymizer’s “Own Your Intelligence” direction by addressing how enterprises deploy and maintain the AI systems they choose to own.
Availability
HTX301 chip production is expected to begin in Q1 2027. Development and validation of the server platform are ongoing. Sampling and broader commercial availability will be announced separately as integration and validation progress. Further information: skymizer.ai/events/sc26
About MiTAC Computing Technology Corp.
MiTAC Computing Technology Corp., a subsidiary of MiTAC Holdings, delivers comprehensive, energy-efficient server solutions backed by industry expertise dating back to the 1990s. Specializing in AI, HPC, cloud, and edge computing, MiTAC Computing employs rigorous methodologies to ensure uncompromising quality — across barebones, systems, racks, and cluster levels — fully achieving performance and integration.
About Skymizer
Founded in 2013, Skymizer Taiwan Inc. develops purpose-built Language Processing Unit (LPU) IP and silicon for on-premises and on-device LLM inference. Its HyperThought™ platform pairs compiler-driven software with transformer-optimized hardware, and its LISA™ (Language Instruction Set Architecture) scales a single toolchain from 4-billion-parameter models to the trillion-parameter class. The HTX301-4S card has an approximately 155W card-level power figure; workload-specific and whole-system power remain subject to engineering validation. Multi-card systems are designed to support larger model-memory requirements while enabling enterprises to retain control of models, data, and deployment. Learn more at skymizer.ai.
HyperThought™ and LISA™ are trademarks of Skymizer Taiwan Inc. All other trademarks are the property of their respective owners.
View original content:https://www.prnewswire.com/news-releases/skymizer-and-mitac-computing-to-showcase-a-2-8-trillion-parameter-ai-model-running-on-a-single-air-cooled-server-at-sc26–302929328.html
SOURCE Skymizer Taiwan Inc.
Technology
Everee Expands Payroll Infrastructure to Power Complete Embedded Payroll Experiences
Published
31 minutes agoon
November 5, 2026By
New APIs enable software platforms to bring company payroll management and worker experiences into their own products, while Everee handles payroll processing, payments, taxes and compliance behind the scenes
SALT LAKE CITY, Nov. 5, 2026 /PRNewswire/ — Everee, a payroll technology company specializing in flexible payroll and payments, today announced a major expansion of its Payroll Infrastructure offering, giving software platforms the ability to build and deliver a complete embedded payroll experience directly within their products.
With the introduction of company-level payroll APIs, Everee is extending its existing worker-facing capabilities to support the administrative side of payroll. Software platforms can now integrate company onboarding, payroll configuration, worker management, deductions and financial reporting into their own applications, creating a unified experience for the businesses and workers they serve.
The expansion enables platforms to offer payroll as a native part of their software rather than requiring customers to manage payroll through a separate provider or application. Everee powers the underlying payroll engine and handles payroll calculations, payments, tax filings and operational support.
“Software platforms want to own the customer experience, but building and operating payroll from scratch is incredibly complex,” said Brett Barlow, CEO at Everee. “With this expansion, we’re removing that barrier. Our partners can build payroll directly into their products, control the experience from end to end, and leave the complexity of running payroll to us. We’re giving software companies the infrastructure to offer a complete payroll product without having to become payroll operators.”
Bringing the Entire Payroll Experience Into One Platform
Everee’s Payroll Infrastructure has enabled software companies to integrate worker-facing payroll functionality, including employee onboarding, direct deposit, pay history, pay stubs and tax documents.
The expanded APIs now extend that functionality to company-level payroll administration, enabling platforms to build experiences that support:
Company onboarding: Create and onboard employer customers, collect required information and manage onboarding workflows.Payroll configuration: Set up work locations, payroll calendars, approval groups, cost centers and pay codes.Worker management: Create and maintain worker records, payroll settings, deductions and leave policies.Payroll data and reporting: Access payment information, payroll costs, payroll journals and financial reports.Payroll execution: Submit hours and pay items and manage payroll runs through an API, with the new Run Payroll API scheduled for release in November.
Together with Everee’s existing worker-facing APIs, these capabilities give software platforms greater control over how payroll is delivered within their products.
Everee handles the underlying payroll calculations, payments, tax filings and related operations, allowing partners to focus on building differentiated software experiences and serving their customers.
Built for Software Platforms That Want to Own the Experience, Not the Complexity
The expanded offering is designed for vertical software providers and workforce technology platforms, including those serving staffing, healthcare, hospitality, workforce management and other industries where payroll is closely connected to day-to-day operations.
By embedding payroll directly into their applications, these platforms can bring workforce management and payroll workflows together, reducing the need for customers to switch between disconnected systems.
Everee’s infrastructure supports payroll for W-2 employees and 1099 contractors, including flexible and same-day payment capabilities that help platforms serve businesses with dynamic workforce needs.
Unlike a traditional payroll integration that directs customers to a separate application, Everee’s API-driven approach allows partners to design and control their own payroll experience while relying on Everee for the underlying technology and operational expertise.
Accelerating Development With AI-Ready Integration Tools
Alongside the expanded payroll APIs, Everee has introduced a redesigned developer experience built to support AI-assisted software development.
The new Payroll Infrastructure guide includes machine-readable documentation, structured implementation instructions and agent-ready resources designed for use with AI coding tools.
Developers can direct compatible coding agents to Everee’s documentation to help navigate integration workflows, configure sandbox environments and implement payroll functionality within their applications.
The approach is designed to simplify the integration process and help software teams move from development to implementation with greater efficiency.
“AI is fundamentally changing how software gets built, and we believe integrating payroll infrastructure should be no exception,” said Piers Mainwaring, Co-founder and CIO of Everee. “We’ve designed our developer experience so AI coding agents can guide partners through the integration process, from initial setup to implementation. Instead of navigating complex documentation and building everything from scratch, developers can use AI to accelerate development and bring embedded payroll capabilities to market faster.”
Everee’s expanded company-level payroll APIs are available to partners now. Software platforms interested in building embedded payroll experiences can learn more about Everee Payroll Infrastructure, explore the developer documentation and request sandbox access at everee.com/technology.
About Everee
Everee is a payroll technology company making it easier for businesses and software platforms to pay workers with greater speed and flexibility. Through its payroll solutions and embedded payroll infrastructure, Everee helps organizations simplify payroll operations, support dynamic workforces and deliver modern payment experiences. Everee’s technology supports flexible pay schedules, instant payment capabilities and payroll solutions for W-2 employees and 1099 contractors.
Learn more at everee.com.
Media Contact
Dana Gagnon, CCO
dana.gagnon@everee.com
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SOURCE Everee
Technology
Innatera Rolls Out Neuromorphic Developer Program with New Portal and Evaluation Hardware on DigiKey
Published
31 minutes agoon
November 5, 2026By
Developers gain access to the hardware, software, and technical support to build innovative neuromorphic AI applications
DELFT, Netherlands, Nov. 5, 2026 /PRNewswire/ — Innatera, the leader in neuromorphic compute, today announced the rollout of its Developer Program, bringing together a new Developer Portal and Pulsar evaluation hardware available through DigiKey. Hardware is now available through DigiKey in the European Union, with availability expected to expand to additional countries by the end of 2026. Building on its previously announced program, the launch gives engineers, researchers, and hobbyists the tools and resources to develop, test, and deploy neuromorphic AI applications.
The program supports development with Pulsar, Innatera’s latest Spiking Neural Processor, which brings ultra-low-power intelligence directly to where sensor data is captured. Applications include human presence detection, keyword spotting, audio scene classification, and predictive maintenance across consumer and industrial devices.
“Neuromorphic computing will advance through what developers build with it,” says Sumeet Kumar, CEO of Innatera. “Our responsibility is to put this technology into their hands with tools they can use confidently. By bringing evaluation hardware together with familiar software workflows, technical guidance, and a developer community, we’re helping more engineers move from experimentation to applications that solve real-world challenges.”
The Developer Portal serves as the program’s central hub for software, documentation, application examples, community discussion, and support. It provides access to the Innatera SDK, comprising two complementary components: Talamo for AI application development and compilation, and Spine for embedded development and execution on Pulsar.
Using Talamo’s Python-based workflow and PyTorch integration, developers can build sensor-processing pipelines, train neural networks, and simulate applications before deploying them to hardware. Talamo’s application compiler translates these pipelines into embedded applications, while Spine provides the embedded toolchain and firmware needed to run them on Pulsar. Together, they streamline the path from model development to on-device evaluation.
Alongside the portal, developers in the European Union can purchase Pulsar evaluation hardware through DigiKey. Availability to other countries will be expanded in phases. The hardware combines two complementary boards:
IgnisCore is the processing module, featuring Pulsar alongside USB connectivity for programming and debugging, onboard memory, and circuitry for monitoring processor power consumption.SensForge connects to IgnisCore to add microphones, radar, motion and temperature sensors, Bluetooth Low Energy connectivity, and expansion interfaces, supporting prototyping with real sensor inputs.
Together, the boards allow developers to explore Pulsar’s capabilities, evaluate applications using acoustic and motion data, and assess power consumption as they develop their designs. For researchers and academic teams, this provides a platform to move beyond simulation and run and evaluate their own applications on physical neuromorphic hardware.
Developers can register at developer.innatera.com to access the Innatera SDK and supporting resources, and purchase Pulsar evaluation hardware through DigiKey at https://www.digikey.de/en/supplier-centers/innatera, subject to regional availability.
About Innatera
Innatera enables the world’s sensor data to be processed as soon as it is captured, directly at the source. Incorporated in 2018 as a spin-off from the Delft University of Technology, it develops a line of neuromorphic processors that mimic the mechanisms the brain uses for processing sensory data. Using a radically new computing architecture that is massively more efficient than conventional technologies, its chips enable breakthrough physical AI capabilities even in devices powered by small batteries. Innatera’s technology makes intelligence pervasive for a smarter, safer, and cleaner world.
Innatera has raised EUR 55m in funding from leading European deep-tech investors, and with its remarkable capital efficiency, aims to bring intelligence to a billion sensors by 2030.
For more information, visit www.innatera.com.
Media Contact:
Cosmin Balan
Marketing Manager
426389@email4pr.com
212-481-3456
View original content:https://www.prnewswire.com/news-releases/innatera-rolls-out-neuromorphic-developer-program-with-new-portal-and-evaluation-hardware-on-digikey-302930756.html
SOURCE Innatera
Skymizer and MiTAC Computing to Showcase a 2.8-Trillion-Parameter AI Model Running on a Single Air-Cooled Server at SC26
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