Technology
IBM RELEASES SECOND-QUARTER RESULTS
Published
2 years agoon
By
Accelerated revenue growth led by Software; Raises full-year free cash flow expectation
ARMONK, N.Y., July 24, 2024 /PRNewswire/ — IBM (NYSE: IBM) today announced second-quarter 2024 earnings results.
“We had a strong second quarter, exceeding our expectations, driven by growth in both revenue and free cash flow. We continue to see that clients turn to IBM for our technology and our expertise in enterprise AI, and our book of business for generative AI has grown to more than two billion dollars since the launch of watsonx one year ago,” said Arvind Krishna, IBM chairman and chief executive officer. “Given our first-half results, we are raising our full-year view of free cash flow, which we now expect to be more than $12 billion.”
Second-Quarter Highlights
Revenue
– Revenue of $15.8 billion, up 2 percent, up 4 percent at constant currency
– Software revenue up 7 percent, up 8 percent at constant currency
– Consulting revenue down 1 percent, up 2 percent at constant currency
– Infrastructure revenue up 1 percent, up 3 percent at constant currency
Profit Margin
– Gross Profit Margin: GAAP: 56.8 percent, up 180 basis points; Operating (Non-GAAP): 57.8 percent, up 190 basis points
– Pre-Tax Income Margin: GAAP: 14.1 percent, up 110 basis points; Operating (Non-GAAP): 17.7 percent, up 220 basis points
Cash Flow
– Year to date, net cash from operating activities of $6.2 billion, down $0.2 billion; free cash flow of $4.5 billion, up $1.1 billion
– Over the last twelve months, net cash from operating activities of $13.8 billion; free cash flow of $12.3 billion
SECOND QUARTER 2024 INCOME STATEMENT SUMMARY
Revenue
Gross
Profit
Gross
Profit
Margin
Pre-tax
Income
Pre-tax
Income
Margin
Net
Income
Diluted
Earnings
Per Share
GAAP from
Continuing
Operations
$ 15.8 B
$ 8.9 B
56.8
%
$ 2.2 B
14.1
%
$ 1.8 B
$ 1.96
Year/Year
2
%(1)
5
%
1.8
Pts
11
%
1.1
Pts
16
%
14
%
Operating
(Non-GAAP)
$ 9.1 B
57.8
%
$ 2.8 B
17.7
%
$ 2.3 B
$ 2.43
Year/Year
5
%
1.9
Pts
17
%
2.2
Pts
14
%
11
%
(1) 4% at constant currency.
“In the quarter, we accelerated our revenue growth as we continue to execute well on our strategy. Our business fundamentals, operating leverage, product mix and productivity initiatives all contributed to significant margin expansion and increased profit and free cash flow,” said James Kavanaugh, IBM senior vice president and chief financial officer. “Our strong cash generation enables us to continue investing in innovation and expertise across the portfolio, while returning value to shareholders through dividends.”
Segment Results for Second Quarter
Software — revenues of $6.7 billion, up 7.1 percent, up 8.4 percent at constant currency:
– Hybrid Platform & Solutions up 5 percent, up 6 percent at constant currency:
— Red Hat up 7 percent, up 8 percent at constant currency
— Automation up 15 percent, up 16 percent at constant currency
— Data & AI down 3 percent, down 2 percent at constant currency
— Security up 2 percent, up 3 percent at constant currency
– Transaction Processing up 11 percent, up 13 percent at constant currency
Consulting — revenues of $5.2 billion, down 0.9 percent, up 1.8 percent at constant currency:
– Business Transformation up 3 percent, up 6 percent at constant currency
– Technology Consulting down 3 percent, up 1 percent at constant currency
– Application Operations down 4 percent, down 2 percent at constant currency
Infrastructure — revenues of $3.6 billion, up 0.7 percent, up 2.7 percent at constant currency:
– Hybrid Infrastructure up 4 percent, up 6 percent at constant currency
— IBM Z up 6 percent, up 8 percent at constant currency
— Distributed Infrastructure up 3 percent, up 5 percent at constant currency
– Infrastructure Support down 5 percent, down 3 percent at constant currency
Financing — revenues of $0.2 billion, down 8.3 percent, down 6.6 percent at constant currency
Cash Flow and Balance Sheet
In the second quarter, the company generated net cash from operating activities of $2.1 billion, down $0.6 billion year to year. IBM’s free cash flow was $2.6 billion, up $0.5 billion year to year. The company returned $1.5 billion to shareholders in dividends in the second quarter.
For the first six months of the year, the company generated net cash from operating activities of $6.2 billion, down $0.2 billion year to year. IBM’s free cash flow was $4.5 billion, up $1.1 billion year to year. Over the last twelve months, the company generated net cash from operating activities of $13.8 billion and free cash flow of $12.3 billion.
IBM ended the second quarter with $16.0 billion of cash, restricted cash and marketable securities, up $2.5 billion from year-end 2023. Debt, including IBM Financing debt of $11.1 billion, totaled $56.5 billion, flat year to date.
Full-Year 2024 Expectations
Revenue: The company continues to expect constant currency revenue growth consistent with its mid-single digit model. At current foreign exchange rates, currency is expected to be about a one to two-point headwind to revenue growth
Free cash flow: The company now expects more than $12 billion in free cash flow
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
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;
net cash from operating activities excluding IBM Financing receivables;
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.
For generative AI, book of business includes Software transactional revenue, SaaS Annual Contract Value and Consulting signings.
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-2q24. 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
June 30,
Six Months Ended
June 30,
2024
2023 (1)
2024
2023 (1)
REVENUE BY SEGMENT
Software
$ 6,739
$ 6,294
$ 12,637
$ 11,885
Consulting
5,179
5,226
10,365
10,423
Infrastructure
3,645
3,618
6,721
6,716
Financing
169
185
362
380
Other
38
152
146
321
TOTAL REVENUE
15,770
15,475
30,231
29,727
GROSS PROFIT
8,950
8,501
16,692
16,010
GROSS PROFIT MARGIN
Software
83.6
%
82.1
%
83.0
%
82.3
%
Consulting
26.3
%
25.9
%
25.8
%
25.7
%
Infrastructure
56.5
%
56.0
%
55.4
%
54.1
%
Financing
48.9
%
49.2
%
48.7
%
46.5
%
TOTAL GROSS PROFIT MARGIN
56.8
%
54.9
%
55.2
%
53.9
%
EXPENSE AND OTHER INCOME
S,G&A
4,938
4,900
9,912
9,754
R,D&E
1,840
1,687
3,637
3,342
Intellectual property and custom development income
(241)
(248)
(458)
(428)
Other (income) and expense
(233)
(261)
(550)
(506)
Interest expense
427
423
859
790
TOTAL EXPENSE AND OTHER INCOME
6,730
6,501
13,399
12,952
INCOME FROM CONTINUING OPERATIONS
BEFORE INCOME TAXES
2,219
2,000
3,293
3,058
Pre-tax margin
14.1
%
12.9
%
10.9
%
10.3
%
Provision for/(Benefit from) income taxes
389
419
(112)
543
Effective tax rate
17.5
%
21.0
%
(3.4)
%
17.8
%
INCOME FROM CONTINUING OPERATIONS
$ 1,830
$ 1,581
$ 3,405
$ 2,515
DISCONTINUED OPERATIONS
Income/(loss) from discontinued operations, net of taxes
4
2
34
(4)
NET INCOME
$ 1,834
$ 1,583
$ 3,439
$ 2,511
EARNINGS/(LOSS) PER SHARE OF COMMON STOCK
Assuming Dilution
Continuing Operations
$ 1.96
$ 1.72
$ 3.65
$ 2.74
Discontinued Operations
$ 0.00
$ 0.00
$ 0.04
$ 0.00
TOTAL
$ 1.96
$ 1.72
$ 3.68
$ 2.73
Basic
Continuing Operations
$ 1.99
$ 1.74
$ 3.71
$ 2.77
Discontinued Operations
$ 0.00
$ 0.00
$ 0.04
$ 0.00
TOTAL
$ 1.99
$ 1.74
$ 3.74
$ 2.76
WEIGHTED-AVERAGE NUMBER OF COMMON
SHARES OUTSTANDING (M’s)
Assuming Dilution
934.4
919.5
933.9
918.6
Basic
920.3
909.9
918.7
908.7
____________________
(1) Recast to reflect January 2024 segment changes.
INTERNATIONAL BUSINESS MACHINES CORPORATION
CONDENSED CONSOLIDATED BALANCE SHEET
(Unaudited)
(Dollars in Millions)
At
June 30,
2024
At
December 31,
2023
ASSETS:
Current Assets:
Cash and cash equivalents
$ 12,210
$ 13,068
Restricted cash
2,268
21
Marketable securities
1,481
373
Notes and accounts receivable – trade, net
5,769
7,214
Short-term financing receivables, net
5,799
6,793
Other accounts receivable, net
757
640
Inventories
1,234
1,161
Deferred costs
997
998
Prepaid expenses and other current assets
2,784
2,639
Total Current Assets
33,299
32,908
Property, plant and equipment, net
5,600
5,501
Operating right-of-use assets, net
3,130
3,220
Long-term financing receivables, net
5,483
5,766
Prepaid pension assets
7,630
7,506
Deferred costs
820
842
Deferred taxes
6,378
6,656
Goodwill
59,416
60,178
Intangibles, net
10,251
11,036
Investments and sundry assets
1,840
1,626
Total Assets
$ 133,848
$ 135,241
LIABILITIES:
Current Liabilities:
Taxes
$ 1,691
$ 2,270
Short-term debt
3,602
6,426
Accounts payable
3,631
4,132
Deferred income
13,643
13,451
Operating lease liabilities
762
820
Other liabilities
6,319
7,022
Total Current Liabilities
29,648
34,122
Long-term debt
52,929
50,121
Retirement related obligations
10,200
10,808
Deferred income
3,489
3,533
Operating lease liabilities
2,546
2,568
Other liabilities
10,932
11,475
Total Liabilities
109,745
112,628
EQUITY:
IBM Stockholders’ Equity:
Common stock
60,501
59,643
Retained earnings
151,659
151,276
Treasury stock — at cost
(169,815)
(169,624)
Accumulated other comprehensive income/(loss)
(18,319)
(18,761)
Total IBM Stockholders’ Equity
24,026
22,533
Noncontrolling interests
77
80
Total Equity
24,103
22,613
Total Liabilities and Equity
$ 133,848
$ 135,241
INTERNATIONAL BUSINESS MACHINES CORPORATION
CASH FLOW ANALYSIS
(Unaudited)
Three Months Ended
June 30,
Six Months Ended
June 30,
Trailing Twelve
Months Ended
June 30,
(Dollars in Millions)
2024
2023
2024
2023
2024
Net Cash from Operations per GAAP
$ 2,066
$ 2,638
$ 6,234
$ 6,412
$ 13,752
Less: change in IBM Financing receivables
(946)
50
951
2,028
156
Capital Expenditures, net
(399)
(487)
(761)
(944)
(1,305)
Free Cash Flow
2,612
2,101
4,522
3,441
12,292
Acquisitions
(153)
(334)
(235)
(356)
(4,961)
Divestitures
—
6
703
6
693
Dividends
(1,537)
(1,510)
(3,058)
(3,007)
(6,092)
Non-Financing Debt
(4,168)
(1,178)
1,076
8,514
(1,892)
Other (includes IBM Financing net receivables and debt)
(73)
(347)
(510)
(1,109)
(410)
Change in Cash, Cash Equivalents, Restricted Cash
and Short-term Marketable Securities
$ (3,318)
$ (1,263)
$ 2,497
$ 7,489
$ (370)
INTERNATIONAL BUSINESS MACHINES CORPORATION
CASH FLOW
(Unaudited)
Three Months Ended
June 30,
Six Months Ended
June 30,
(Dollars in Millions)
2024
2023
2024
2023
Net Income from Operations
$ 1,834
$ 1,583
$ 3,439
$ 2,511
Depreciation/Amortization of Intangibles (1)
1,155
1,076
2,287
2,150
Stock-based Compensation
316
288
636
556
Operating assets and liabilities/Other, net (2)
(293)
(359)
(1,079)
(832)
IBM Financing A/R
(946)
50
951
2,028
Net Cash Provided by Operating Activities
$ 2,066
$ 2,638
$ 6,234
$ 6,412
Capital Expenditures, net of payments & proceeds
(399)
(487)
(761)
(944)
Divestitures, net of cash transferred
–
6
703
6
Acquisitions, net of cash acquired
(153)
(334)
(235)
(356)
Marketable Securities / Other Investments, net
2,791
822
(1,679)
(6,659)
Net Cash Provided by/(Used in) Investing Activities
$ 2,239
$ 7
$ (1,971)
$ (7,953)
Debt, net of payments & proceeds
(2,900)
(1,135)
481
6,169
Dividends
(1,537)
(1,510)
(3,058)
(3,007)
Financing – Other
(78)
(86)
(61)
(185)
Net Cash Provided by/(Used in) Financing Activities
$ (4,515)
$ (2,731)
$ (2,638)
$ 2,978
Effect of Exchange Rate changes on Cash
(76)
(25)
(236)
(1)
Net Change in Cash, Cash Equivalents and Restricted Cash
$ (287)
$ (110)
$ 1,389
$ 1,436
____________________
(1) Includes operating lease right-of-use assets amortization.
(2) Includes the reduction of tax reserves.
INTERNATIONAL BUSINESS MACHINES CORPORATION
GAAP NET INCOME TO ADJUSTED EBITDA RECONCILIATION
(Unaudited)
Three Months Ended
June 30,
Six Months Ended
June 30,
(Dollars in Billions)
2024
2023
Yr/Yr
2024
2023
Yr/Yr
Net Income as reported (GAAP)
$ 1.8
$ 1.6
$ 0.3
$ 3.4
$ 2.5
$ 0.9
Less: Income/(loss) from discontinued operations, net of tax
0.0
0.0
0.0
0.0
0.0
0.0
Income from continuing operations
1.8
1.6
0.2
3.4
2.5
0.9
Provision for/(Benefit from) income taxes from continuing ops.
0.4
0.4
0.0
(0.1)
0.5
(0.7)
Pre-tax income from continuing operations (GAAP)
2.2
2.0
0.2
3.3
3.1
0.2
Non-operating adjustments (before tax)
Acquisition-related charges (1)
0.5
0.4
0.1
1.0
0.8
0.2
Non-operating retirement-related costs/(income)
0.1
0.0
0.1
0.2
0.0
0.2
Operating (non-GAAP) pre-tax income from continuing ops.
2.8
2.4
0.4
4.4
3.8
0.6
Net interest expense
0.2
0.2
0.0
0.4
0.4
0.0
Depreciation/Amortization of non-acquired intangible assets
0.7
0.7
0.0
1.4
1.4
0.0
Stock-based compensation
0.3
0.3
0.0
0.6
0.6
0.1
Workforce rebalancing charges
0.0
0.1
(0.1)
0.4
0.4
0.0
Corporate (gains) and charges (2)
0.0
0.0
0.0
(0.2)
0.0
(0.2)
Adjusted EBITDA
$ 4.0
$ 3.7
$ 0.4
$ 7.1
$ 6.5
$ 0.5
____________________
(1) Primarily consists of amortization of acquired intangible assets.
(2) Corporate (gains) and charges primarily consists of unique corporate actions such as gains on divestitures.
INTERNATIONAL BUSINESS MACHINES CORPORATION
SEGMENT DATA
(Unaudited)
Three Months Ended June 30, 2024
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 6,739
$ 5,179
$ 3,645
$ 169
Segment Profit
$ 2,113
$ 463
$ 654
$ 77
Segment Profit Margin
31.3
%
8.9
%
17.9
%
45.3
%
Change YTY Revenue
7.1
%
(0.9)
%
0.7
%
(8.3)
%
Change YTY Revenue – Constant Currency
8.4
%
1.8
%
2.7
%
(6.6)
%
Three Months Ended June 30, 2023 (1)
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 6,294
$ 5,226
$ 3,618
$ 185
Segment Profit
$ 1,749
$ 483
$ 732
$ 64
Segment Profit Margin
27.8
%
9.2
%
20.2
%
34.8
%
____________________
(1) Recast to reflect January 2024 segment changes.
Six Months Ended June 30, 2024
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 12,637
$ 10,365
$ 6,721
$ 362
Segment Profit
$ 3,612
$ 888
$ 965
$ 168
Segment Profit Margin
28.6
%
8.6
%
14.4
%
46.5
%
Change YTY Revenue
6.3
%
(0.6)
%
0.1
%
(4.9)
%
Change YTY Revenue – Constant Currency
7.2
%
1.8
%
1.5
%
(4.0)
%
Six Months Ended June 30, 2023 (1)
(Dollars in Millions)
Software
Consulting
Infrastructure
Financing
Revenue
$ 11,885
$ 10,423
$ 6,716
$ 380
Segment Profit
$ 3,128
$ 910
$ 1,039
$ 164
Segment Profit Margin
26.3
%
8.7
%
15.5
%
43.2
%
__________
(1) Recast to reflect January 2004 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 June 30, 2024
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts
Operating
(Non-GAAP)
Gross Profit
$ 8,950
$ 170
$ —
$ —
$ 9,120
Gross Profit Margin
56.8
%
1.1
pts
—
pts
—
pts
57.8
%
S,G&A
$ 4,938
$ (286)
$ —
$ —
$ 4,651
Other (Income) & Expense
(233)
(18)
(98)
—
(349)
Total Expense & Other (Income)
6,730
(304)
(98)
—
6,328
Pre-tax Income from Continuing Operations
2,219
474
98
—
2,792
Pre-tax Income Margin from Continuing
Operations
14.1
%
3.0
pts
0.6
pts
—
pts
17.7
%
Provision for/(Benefit from) Income Taxes (3)
$ 389
$ 113
$ 26
$ (12)
$ 516
Effective Tax Rate
17.5
%
1.1
pts
0.3
pts
(0.4)
pts
18.5
%
Income from Continuing Operations
$ 1,830
$ 362
$ 72
$ 12
$ 2,275
Income Margin from Continuing Operations
11.6
%
2.3
pts
0.5
pts
0.1
pts
14.4
%
Diluted Earnings Per Share: Continuing
Operations
$ 1.96
$ 0.39
$ 0.08
$ 0.01
$ 2.43
Three Months Ended June 30, 2023
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts
Operating
(Non-GAAP)
Gross Profit
$ 8,501
$ 150
$ —
$ —
$ 8,650
Gross Profit Margin
54.9
%
1.0
pts
—
pts
—
pts
55.9
%
S,G&A
$ 4,900
$ (245)
$ —
$ —
$ 4,655
Other (Income) & Expense
(261)
0
(1)
—
(262)
Total Expense & Other (Income)
6,501
(246)
(1)
—
6,254
Pre-tax Income from Continuing Operations
2,000
395
1
—
2,396
Pre-tax Income Margin from Continuing
Operations
12.9
%
2.6
pts
0.0
pts
—
pts
15.5
%
Provision for/(Benefit from) Income Taxes (3)
$ 419
$ 87
$ (3)
$ (110)
$ 393
Effective Tax Rate
21.0
%
0.2
pts
(0.2)
pts
(4.6)
pts
16.4
%
Income from Continuing Operations
$ 1,581
$ 308
$ 5
$ 110
$ 2,003
Income Margin from Continuing Operations
10.2
%
2.0
pts
0.0
pts
0.7
pts
12.9
%
Diluted Earnings Per Share: Continuing
Operations
$ 1.72
$ 0.34
$ 0.00
$ 0.12
$ 2.18
____________________
(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 $18 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.
(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.
INTERNATIONAL BUSINESS MACHINES CORPORATION
U.S. GAAP TO OPERATING (Non-GAAP) RESULTS RECONCILIATION
(Unaudited; Dollars in millions except per share amounts)
Six Months Ended June 30, 2024
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts (3)
Operating
(Non-GAAP)
Gross Profit
$ 16,692
$ 341
$ —
$ —
$ 17,033
Gross Profit Margin
55.2
%
1.1
pts
—
pts
—
pts
56.3
%
S,G&A
$ 9,912
$ (554)
$ —
$ —
$ 9,358
Other (Income) & Expense
(550)
(68)
(194)
—
(812)
Total Expense & Other (Income)
13,399
(622)
(194)
—
12,584
Pre-tax Income from Continuing Operations
3,293
963
194
—
4,449
Pre-tax Income Margin from Continuing
Operations
10.9
%
3.2
pts
0.6
pts
—
pts
14.7
%
Provision for/(Benefit from) Income Taxes (4)
$ (112)
$ 255
$ 31
$ 436
$ 610
Effective Tax Rate
(3.4)
%
6.5
pts
0.9
pts
9.8
pts
13.7
%
Income from Continuing Operations
$ 3,405
$ 707
$ 163
$ (436)
$ 3,839
Income Margin from Continuing Operations
11.3
%
2.3
pts
0.5
pts
(1.4)
pts
12.7
%
Diluted Earnings Per Share: Continuing
Operations
$ 3.65
$ 0.76
$ 0.17
$ (0.47)
$ 4.11
Six Months Ended June 30, 2023
Continuing Operations
GAAP
Acquisition-
Related
Adjustments (1)
Retirement-
Related
Adjustments (2)
Tax
Reform
Impacts
Operating
(Non-GAAP)
Gross Profit
$ 16,010
$ 298
$ —
$ —
$ 16,308
Gross Profit Margin
53.9
%
1.0
pts
—
pts
—
pts
54.9
%
S,G&A
$ 9,754
$ (491)
$ —
$ —
$ 9,263
Other (Income) & Expense
(506)
(2)
4
—
(504)
Total Expense & Other (Income)
12,952
(493)
4
—
12,463
Pre-tax Income from Continuing Operations
3,058
791
(4)
—
3,845
Pre-tax Income Margin from Continuing
Operations
10.3
%
2.7
pts
0.0
pts
—
pts
12.9
%
Provision for/(Benefit from) Income Taxes (4)
$ 543
$ 178
$ (14)
$ (115)
$ 593
Effective Tax Rate
17.8
%
1.0
pts
(0.3)
pts
(3.0)
pts
15.4
%
Income from Continuing Operations
$ 2,515
$ 613
$ 10
$ 115
$ 3,252
Income Margin from Continuing Operations
8.5
%
2.1
pts
0.0
pts
0.4
pts
10.9
%
Diluted Earnings Per Share: Continuing
Operations
$ 2.74
$ 0.67
$ 0.01
$ 0.13
$ 3.54
____________________
(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.
(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
June 30,
Six Months Ended
June 30,
(Dollars in Billions)
2024
2023
2024
2023
Net Cash Provided by Operating Activities
$ 2.1
$ 2.6
$ 6.2
$ 6.4
Add:
Net interest expense
0.2
0.2
0.4
0.4
Provision for/(Benefit from) income taxes from continuing operations
0.4
0.4
(0.1)
0.5
Less change in:
Financing receivables
(0.9)
0.1
1.0
2.0
Other assets and liabilities/Other, net (1)
(0.4)
(0.5)
(1.5)
(1.2)
Adjusted EBITDA
$ 4.0
$ 3.7
$ 7.1
$ 6.5
____________________
(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-second-quarter-results-302205863.html
SOURCE IBM
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Technology
U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs
Published
43 minutes agoon
July 23, 2026By
WASHINGTON, July 23, 2026 /PRNewswire/ — The Quartz Manufacturers Alliance for America (QMAA) released a powerful video featuring quartz manufacturing workers from across the country calling for free and fair trade policies to save 100,000 American jobs. QMAA, a coalition of leading U.S.-based quartz slab manufacturers, are calling for strong safeguard remedies after the U.S. International Trade Commission (ITC) found a huge flood of foreign imports had caused tremendous injury to the domestic quartz industry.
QMAA members are urging the Trump Administration to build on the ITC’s strong recommendation and address this major flood of quartz imports with a Tariff of 50% and a Reshoring Import Cap of 141 million square feet on imported quartz surface products. This will ensure a reshoring of the good-paying U.S. quartz manufacturing jobs stolen by companies who cheat U.S. trade law, distort competition and are decimating U.S. quartz manufacturing. Together, these trade remedies will provide the relief necessary to save the 100,000 jobs supported by the U.S. quartz industry.
The video features workers from LX Hausys, Guidoni USA and Cambria Company and is available here:
Save 100,000 American Quartz Jobs
Quotes from QMAA Quartz Manufacturing Workers
“This facility used to be a Husqvarna plant. Husqvarna closed down due to cheap foreign imports. There were over 1,000 people working here and all of a sudden…I’m worried I may see the same thing take place again.”
-Raymond Mack, Production Operator, Guidoni USA, Helena-McRae, GA
“Foreign countries, mainly China, Thailand, Malaysia, Vietnam, Indonesia, have been circumventing and cheating the American market. We believe in the industry. We believe in the American working power. We just want to level the playing field, make it fair for everyone and everyone will benefit.”
– Daniel Vas de Melo SA, Business Development Manager, Guidoni USA, McRae-Helena, GA
“In order for us to continue to compete, we need a strong Tariff and Import Cap on imported quartz surfaces. That will ensure we can play on an even playing field. That’s all we’re asking for. I would hate to see cheap, imported quartz have a negative impact on families such as mine and the other families that we employ here.”
– Mike Morici, Vice President – LX Hausys, Adairsville, GA
“The surge of foreign imports has shocked the U.S. economy, and the market for surfaces. It’s taken prices down to unsustainably low levels for any domestic supplier. The result of that is we’re not producing as much as we should, we can’t hire as many people as we would like to, and we can’t grow our business in the way that we and our peers in the U.S. want to grow.”
– Andrew Eich, President and Chief Operating Officer, Cambria
“As these foreign imports flood the market, we lose the ability to create and sustain jobs that ensure good paying conditions for manufacturing workers. There will be over 100,000 jobs that have the strong potential to go away.”
– Jack Sundry, SVP Core and Lexus – Cambria, Southern Minnesota
Background
In September 2025, QMAA filed a Global Safeguard petition with the U.S. International Trade Commission (ITC) under Section 201 of the U.S. Trade Act of 1974. The ITC’s thorough investigation found serious injury to the domestic industry caused by a massive import surge designed to undercut American businesses. Quartz imports have surged by 78.3% within the past five years, leading to a nearly 20% decline in domestic production, factory closures and major job reductions.
A final safeguard decision from the United States Trade Representative is expected by Aug. 1, 2026.
About the Quartz Manufacturing Alliance for America:
QMAA is a coalition of U.S.-based, American quartz slab manufacturing factories, united with other industry leaders to support and strengthen the American quartz industry. QMAA is committed to ensuring a free and fair, competitive marketplace born of free enterprise that provides the opportunity to compete on a level playing field for American quartz slab manufacturing factories and their valued workers. We also believe this effort will have a positive impact throughout the entire quartz surfacing industry, including to the strong benefit of American stone fabrication shops and upstream suppliers of quartz minerals and resin. Learn more at: https://www.qmaa.org/
View original content to download multimedia:https://www.prnewswire.com/news-releases/us-quartz-workers-strong-safeguard-remedies-needed-to-save-100-000-american-manufacturing-jobs-302833444.html
SOURCE Quartz Manufacturing Alliance of America
Technology
Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI
Published
43 minutes agoon
July 23, 2026By
Databricks and Microsoft extend strategic partnership through the 2030s to scale enterprise AIDatabricks deepens its bet on Azure, growing its use of Azure Databricks to run its own core business operations and analytics, while both companies advance native integration across the Microsoft stack, including Databricks Genie and Microsoft 365Databricks increases its use of Microsoft Azure Cobalt to improve performance and efficiency
REDMOND, Wash. and SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s. Databricks will deepen its use of Azure Databricks to run core business operations and build its unified lakehouse, while leveraging Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency. Microsoft will also continue integrating Databricks Data and AI platform across its products, bringing capabilities like Genie, Databricks’ AI co-worker, directly into customer workflows. Together, the companies are helping enterprises build AI grounded in their own business context with the cost efficiency, control and choice needed to scale successfully.
Enterprises want AI that understands their customers, products, operations, metrics and business processes, all while running securely where work happens. Yet, most still struggle to connect AI to trusted business knowledge, govern models and agents consistently, and control costs. Microsoft and Databricks are helping customers close that gap:
“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, Co‑Founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”
“The next generation of AI will be defined by how effectively organizations turn their unique knowledge into intelligence,” said Judson Althoff, CEO, Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”
Databricks runs core business operations on Azure Databricks
As part of this latest deal, Databricks deepens its commitment to Azure, running its own core business operations and analytics on Azure Databricks, using the very platform it delivers to customers at scale.
Advancing performance with Azure Cobalt
Databricks will also expand its use of Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency for agentic and data-intensive workloads. Databricks currently uses Cobalt 100 and plans to adopt Cobalt 200, which delivers up to 50% better performance and includes memory encryption enabled by default.
Deep integrations for Databricks Genie and Unity AI Gateway with Microsoft product stack
By combining the Databricks Data + AI Platform with Azure’s global scale, customers can accelerate AI transformation while maintaining control and reliability. As a native Azure service, Azure Databricks makes its AI capabilities available directly within customers’ existing Microsoft environment, grounding and operating agents on enterprise data with Genie and Genie Ontology, and governing models, agents and cost through Unity AI Gateway. Deeply integrated across the Microsoft ecosystem spanning Microsoft Entra, Azure Data Lake Storage, Azure security, Microsoft OneLake, Power BI, Microsoft Purview, Microsoft Foundry, Power Platform, Microsoft 365, Teams and Copilot, these capabilities bring governed, real-time data and AI into business workflows, giving organizations the context, control, choice and cost efficiency needed to drive impact.
Continued investment is evident from our recent announcements with Databricks at Data + AI Summit in June.
Customer impact with Azure Databricks
The deepened collaboration strengthens support for joint customers running data, analytics and AI workloads on Azure Databricks, delivering improved performance, security, AI governance and enterprise readiness. Thousands of customers, including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever, already use Azure Databricks to run critical workloads and scale AI with confidence.
Read more on the proven business value of the Databricks and Microsoft partnership on the Microsoft Azure blog.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including AT&T, Bayer, BMW Group, HSBC, T-Mobile, Unilever, and 70% of the Fortune 500 — rely on Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About Microsoft
Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.
View original content to download multimedia:https://www.prnewswire.com/news-releases/databricks-and-microsoft-expand-partnership-to-help-enterprises-bring-business-context-to-enterprise-ai-302832954.html
SOURCE Microsoft Corp.
Technology
Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security
Published
43 minutes agoon
July 23, 2026By
Joint solution extends proven API gateway security to the AI era — with automated AI discovery and runtime AI protection
SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, and Kong Inc., a leading developer of API and AI connectivity technologies, today announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments.
According to The State of AI-Native Application Security 2025 report, as enterprises race to deploy AI at scale, 62% have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk — making embedded, infrastructure-level security more critical than ever. And companies are now deploying agents into their operations at an exponentially increasing rate, making it a necessity to protect the agents themselves and the systems interacting with those agents.
The two companies are extending their joint solution from Kong API Gateway to also include Kong AI Gateway, bringing Harness’s AI security intelligence directly into the AI infrastructure layer and enabling enterprises to discover, monitor, and protect every agent, AI asset, LLM-powered service, and MCP-connected workflow that traverses it.
A Proven Foundation: Harness and Kong API Gateway
Harness and Kong have been jointly trusted by enterprises to deliver best-in-class API security for years. The existing Harness and Kong API Gateway integration provides:
Comprehensive API traffic visibility and behavioral analysis across all Kong-managed servicesReal-time detection and blocking of API threats, including OWASP API Security Top 10 risks, credential stuffing attacks, and business logic abuseContinuous sensitive data tracking to identify PII exposure and regulatory riskZero-friction deployment alongside existing Kong configurations
This new offering of the AI Gateway solution applies the same level of security depth to AI infrastructure, ensuring that security teams are not left behind as their organizations adopt AI and agentic operations.
“Our partnership with Harness has given joint customers production-grade API security that works with the way they build, not against it,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “Extending to include Kong AI Gateway is a natural next step. The same enterprises are now moving AI into production through our gateway and need the same depth of visibility and control they’ve come to rely on for their APIs for all AI traffic types including LLM, MCP, and A2A. That’s exactly what this delivers and is crucial for organizations scaling in the agentic era.”
The New Frontier: Kong AI Gateway and Harness AI Security
As enterprises accelerate AI adoption, the attack surface has fundamentally shifted. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not designed to address. Unlike traditional software, AI agents are non-deterministic — the same agent can behave differently on consecutive runs, making it impossible to secure them the way you’d secure a static API. The new Harness and Kong AI Gateway integration directly tackles these challenges across two critical domains: AI discovery and AI protection.
AI Discovery
Harness automatically inventories every AI asset, API, MCP server, tool, prompt, and resource routed through Kong AI Gateway — providing security teams with a continuously updated catalog of their AI attack surface. No manual documentation. No blind spots.
AI Protection
Harness applies behavioral analysis and anomaly detection to AI traffic in real time, identifying prompt injection attacks, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI-specific threats. Enterprises gain the same depth of observability and protection for their agents and AI workloads that they already rely on for traditional APIs, with full prompt and response details available for incident investigation and inline policy enforcement through Kong AI Gateway.
“Shadow AI has become the defining security blind spot for enterprises today. Traditional tools were built for static code and predictable systems, not for adaptive AI models, agent-to-agent communication, and MCP-connected workflows that evolve continuously,” said Rahul Sood, GM of Application Security at Harness. “This integration of Harness AI Security with Kong puts security intelligence directly into the connectivity layer where AI traffic flows. Joint customers now have the visibility and control they need to move fast without losing sight of what’s happening across their AI infrastructure.”
Availability
The Harness and Kong API Gateway integration is generally available today for all joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now. Joint customers can contact their account team or request a demo.
About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.
About Kong
Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.
View original content to download multimedia:https://www.prnewswire.com/news-releases/harness-and-kong-expand-strategic-partnership-to-deliver-comprehensive-api-and-ai-security-302833414.html
SOURCE Harness
U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs
Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI
Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security
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