Technology
Lufax Reports Second Quarter 2024 Financial Results
Published
2 years agoon
By
SHANGHAI, Aug. 21, 2024 /PRNewswire/ — Lufax Holding Ltd (“Lufax” or the “Company”) (NYSE: LU and HKEX: 6623), a leading financial services enabler for small business owners in China, today announced its unaudited financial results for the second quarter ended June 30, 2024.
Second Quarter 2024 & First Half 2024 Financial Highlights
Total income was RMB5,976 million (US$822 million) in the second quarter of 2024, compared to RMB9,270 million in the same period of 2023.Net loss was RMB730 million (US$100 million) in the second quarter of 2024, compared to net profit of RMB1,004 million in the same period of 2023.
(In millions except percentages, unaudited)
Three Months Ended June 30,
2023
2024
YoY
RMB
RMB
USD
Total income
9,270
5,976
822
(35.5 %)
Total expenses
(7,957)
(6,341)
(873)
(20.3 %)
Total expenses excluding credit
impairment losses, finance costs and
other (gains)/losses
(4,954)
(3,485)
(480)
(29.7 %)
Credit impairment losses, finance costs and
other (gains)/losses
(3,003)
(2,856)
(393)
(4.9 %)
Net profit/(loss)
1,004
(730)
(100)
(172.7 %)
(In millions except percentages, unaudited)
Six Months Ended June 30,
2023
2024
YoY
RMB
RMB
USD
Total income
19,348
12,940
1,781
(33.1 %)
Total expenses
(16,920)
(12,857)
(1,769)
(24.0 %)
Total expenses excluding credit
impairment losses, finance costs and
other (gains)/losses
(10,639)
(7,065)
(972)
(33.6 %)
Credit impairment losses, finance costs and
other (gains)/losses
(6,281)
(5,792)
(797)
(7.8 %)
Net profit
1,736
(1,560)
(215)
(189.9 %)
Second Quarter 2024 Operational Highlights
Total outstanding balance of loans was RMB235.2 billion as of June 30, 2024 compared to RMB426.4 billion as of June 30, 2023, representing a decrease of 44.8%, among which the outstanding balance of consumer finance loans was RMB42.0 billion as of June 30, 2024, compared to RMB32.8 billion as of June 30, 2023, representing an increase of 27.9%.Total new loans enabled were RMB45.2 billion in the second quarter of 2024, compared to RMB53.5 billion in the same period of 2023, representing a decrease of 15.5%, among which new consumer finance loans were RMB22.1 billion in the second quarter of 2024, compared to RMB17.9 billion in the same period of 2023, representing an increase of 23.6%.Cumulative number of borrowers increased by 17.4% to approximately 23.2 million as of June 30, 2024 from approximately 19.7 million as of June 30, 2023.As of June 30, 2024, including the consumer finance subsidiary, the Company bore risk on 56.7% of its outstanding balance, up from 27.5% as of June 30, 2023. Credit enhancement partners bore risk on the other 42.2% of the outstanding balance, among which Ping An Property & Casualty Insurance Company of China, Ltd. accounted for a majority.As of June 30, 2024, excluding the consumer finance subsidiary, the Company bore risk on 49.9% of its outstanding balance, up from 22.4% as of June 30, 2023.For the second quarter of 2024, the Company’s retail credit enablement business take rate[1] based on loan balance was 9.3%, as compared to 7.0% for the second quarter of 2023.C-M3 flow rate[2] for the total loans the Company had enabled, excluding the consumer finance subsidiary, was 0.9% in the second quarter of 2024, compared to 1.0% in the first quarter of 2024. Flow rates for the general unsecured loans and secured loans the Company had enabled were 0.9% and 0.7% respectively in the second quarter of 2024, as compared to 1.0% and 0.7% respectively in the first quarter of 2024.Days past due (“DPD”) 30+ delinquency rate[3] for the total loans the Company had enabled, excluding the consumer finance subsidiary, was 5.4% as of June 30, 2024, as compared to 6.6% as of March 31, 2024. DPD 30+ delinquency rate for general unsecured loans was 5.8% as of June 30, 2024, as compared to 7.4% as of March 31, 2024. DPD 30+ delinquency rate for secured loans was 4.1% as of June 30, 2024, as compared to 4.5% as of March 31, 2024.DPD 90+ delinquency rate[4] for total loans enabled, excluding the consumer finance subsidiary, was 3.4% as of June 30, 2024, as compared to 4.4% as of March 31, 2024. DPD 90+ delinquency rate for general unsecured loans was 3.7% as of June 30, 2024, as compared to 5.0% as of March 31, 2024. DPD 90+ delinquency rate for secured loans was 2.5% as of June 30, 2024, as compared to 2.6% as of March 31, 2024.As of June 30, 2024, the non-performing loan (NPL) ratio[5] for consumer finance loans was 1.4% as compared to 1.6% as of March 31, 2024.
Mr. YongSuk Cho, Chairman and Chief Executive Officer of Lufax, commented, “During the second quarter, our focus on quality over quantity yielded notable improvements of asset quality across both our Puhui and consumer finance portfolios. Loan quality trended higher within both segments, demonstrating the efficacy of our strategic approach. As our Puhui loan balance increasingly represents loans enabled under the 100% guarantee model, we anticipate the ongoing shift will drive further enhancements to our take rate going forward. Furthermore, as we continue to execute our strategy of obtaining and utilizing strong licenses to bolster our business, we expect our licenses will help us improve our funding costs, product diversity, and capital management efficiency. Looking ahead, we will seek to deepen our synergies with Ping An Group, leveraging their brand reputation, technological resources, and extensive network to strengthen our market position. These initiatives, combined with our direct sales force and ongoing emphasis on operational caution, uniquely position us to support China’s small and micro enterprise economy. We are encouraged by our progress to date, and remain committed to drive persistent, high-quality growth for our customers and our shareholders.”
Mr. Gregory Gibb, Co-Chief Executive Officer of Lufax, commented, “Our ongoing emphasis on operational refinements helped us strengthen our business during the second quarter. Our disciplined approach to credit standards led to enhancements in asset quality, with the C-M3 flow rate of Puhui loans improving to 0.9% and the NPL ratio for consumer finance loans decreasing to 1.4%. Meanwhile, the implementation of our 100% guarantee model for Puhui loans has positively impacted the take rate on our outstanding balance, which reached 9.3% this quarter. Our consumer finance segment also continued to grow, with a 23.6% year-over-year increase in new loan sales, representing 49% of total new loan sales in the quarter. Our prudent approach and ongoing operational refinements will be key as we pursue sustainable future growth.”
Mr. Alston Peiqing Zhu, Chief Financial Officer of Lufax, commented, “During the second quarter, our leverage remained low, and our two main operating entities have maintained their strong capital positions. Our guarantee subsidiary’s leverage ratio is stable at 2.4x, still comfortably below the 10x regulatory limit. At the same time, our consumer finance company has a healthy 14.7% capital adequacy ratio, surpassing the 10.5% regulatory requirement. Amidst a complex economic environment, we are seeing positive trends in asset quality and notable growth in consumer finance. We remain steadfast in our disciplined approach, aiming to construct a resilient platform for enduring success and shareholder value creation.”
Second Quarter 2024 & First Half 2024 Financial Results
TOTAL INCOME
Total income was RMB5,976 million (US$822 million) in the second quarter of 2024, compared to RMB9,270 million in the same period of 2023, representing a decrease of 36%.
Three Months Ended June 30,
(In millions except percentages,
unaudited)
2023
2024
YoY
RMB
% of income
RMB
% of income
Technology platform-based income
4,076
44.0 %
1,999
33.4 %
(51.0 %)
Net interest income
3,367
36.3 %
2,716
45.4 %
(19.3 %)
Guarantee income
1,149
12.4 %
850
14.2 %
(26.0 %)
Other income
310
3.3 %
318
5.3 %
2.4 %
Investment income
370
4.0 %
94
1.6 %
(74.6 %)
Share of net profits of investments
accounted for using the equity method
(1)
(0.0 %)
–
–
100.0 %
Total income
9,270
100.0 %
5,976
100.0 %
(35.5 %)
Six Months Ended June 30,
(In millions except percentages,
unaudited)
2023
2024
YoY
RMB
% of income
RMB
% of income
Technology platform-based income
9,086
47.0 %
4,552
35.2 %
(49.9 %)
Net interest income
6,716
34.7 %
5,561
43.0 %
(17.2 %)
Guarantee income
2,565
13.3 %
1,775
13.7 %
(30.8 %)
Other income
538
2.8 %
637
4.9 %
18.4 %
Investment income
445
2.3 %
416
3.2 %
(6.6 %)
Share of net profits of investments
accounted for using the equity method
(2)
(0.0 %)
(1)
(0.0 %)
56.5 %
Total income
19,348
100.0 %
12,940
100.0 %
(33.1 %)
Technology platform-based income was RMB1,999 million (US$275 million) in the second quarter of 2024, compared to RMB4,076 million in the same period of 2023, representing a decrease of 51.0%, due to 1) the decrease of retail credit service fees due to the decrease in loan balance and 2) the decrease of referral and other technology platform-based income due to the Company’s exit from the Lujintong[6] business that it had previously conducted.Net interest income was RMB2,716 million (US$374 million) in the second quarter of 2024, compared to RMB3,367 million in the same period of 2023, representing a decrease of 19.3%, mainly due to the decrease in loan balance, partially offset by the increase of net interest income from the Company’s consumer finance business.Guarantee income was RMB850 million (US$117 million) in the second quarter of 2024, compared to RMB1,149 million in the same period of 2023, representing a decrease of 26.0%, primarily due to the decrease in loan balance and a lower average fee rate.Other income was RMB318 million (US$44 million) in the second quarter of 2024, compared to other income of RMB310 million in the same period of 2023. The increase was mainly due to the increased account management fees driven by improved collection performance.Investment income was RMB94 million (US$13 million) in the second quarter of 2024, compared to RMB370 million in the same period of 2023, mainly due to the increased losses associated with certain investment assets.
—————————
[1] The take rate of retail credit enablement business is calculated by dividing the aggregated amount of loan enablement service fees, post-origination service fees, net interest income (excluding revenue from PAObank and LUAN credit subsidiaries), guarantee income and the penalty fees and account management fees by the average outstanding balance of loans enabled for each period.
[2] C-M3 flow rate estimates the percentage of current loans that will become non-performing at the end of three months, and is defined as the product of (i) the loan balance that is overdue from 1 to 29 days as a percentage of the total current loan balance of the previous month, (ii) the loan balance that is overdue from 30 to 59 days as a percentage of the loan balance that was overdue from 1 to 29 days in the previous month, and (iii) the loan balance that is overdue from 60 to 89 days as a percentage of the loan balance that was overdue from 30 days to 59 days in the previous month. Loans from legacy products and consumer finance subsidiary are excluded from the flow rate calculation.
[3] DPD 30+ delinquency rate refers to the outstanding balance of loans for which any payment is 30 to 179 calendar days past due divided by the outstanding balance of loans. Loans from legacy products and consumer finance subsidiary are excluded from the calculation.
[4] DPD 90+ delinquency rate refers to the outstanding balance of loans for which any payment is 90 to 179 calendar days past due divided by the outstanding balance of loans. Loans from legacy products and consumer finance subsidiary are excluded from the calculation.
[5] Non-performing loan ratio for consumer finance loans is calculated by using the outstanding balance of consumer finance loans for which any payment is 91 or more calendar days past due and not written off, and certain restructured loans, divided by the outstanding balance of consumer finance loans.
[6] Lujintong was a platform the company launched in 2019, aiming to help its financial institution partners to acquire borrowers directly through dispersed sourcing nationwide. The company downscaled the operations of Lujintong in 2023 and ceased its operation by the end of April 2024.
TOTAL EXPENSES
Total expenses decreased by 20% to RMB6,341 million (US$873 million) in the second quarter of 2024 from RMB7,957 million in the same period of 2023. This decrease was mainly due to the decrease in sales and marketing expenses by 46% to RMB1,372 million (US$189 million) in the second quarter of 2024 from RMB2,540 million in the same period of 2023. Total expenses excluding credit impairment losses, finance costs and other (gains)/losses decreased by 30% to RMB3,485 million (US$480 million) in the second quarter of 2024 from RMB4,954 million in the same period of 2023.
Three Months Ended June 30,
(In millions except percentages, unaudited)
2023
2024
YoY
RMB
% of income
RMB
% of income
Sales and marketing expenses
2,540
27.4 %
1,372
22.9 %
(46.0 %)
General and administrative expenses
493
5.3 %
511
8.5 %
3.5 %
Operation and servicing expenses
1,576
17.0 %
1,327
22.2 %
(15.8 %)
Technology and analytics expenses
344
3.7 %
275
4.6 %
(20.0 %)
Credit impairment losses
2,998
32.3 %
2,560
42.8 %
(14.6 %)
Finance costs
136
1.5 %
13
0.2 %
(90.2 %)
Other (gains)/losses – net
(130)
(1.4 %)
282
4.7 %
316.6 %
Total expenses
7,957
85.8 %
6,341
106.1 %
(20.3 %)
Six Months Ended June 30,
(In millions except percentages, unaudited)
2023
2024
YoY
RMB
% of income
RMB
% of income
Sales and marketing expenses
5,570
28.8 %
2,890
22.3 %
(48.1 %)
General and administrative expenses
1,249
6.5 %
993
7.7 %
(20.5 %)
Operation and servicing expenses
3,134
16.2 %
2,655
20.5 %
(15.3 %)
Technology and analytics expenses
686
3.5 %
528
4.1 %
(23.0 %)
Credit impairment losses
6,130
31.7 %
5,422
41.9 %
(11.5 %)
Finance costs
324
1.7 %
71
0.6 %
(78.0 %)
Other (gains)/losses – net
(173)
(0.9 %)
299
2.3 %
273.0 %
Total expenses
16,920
87.5 %
12,857
99.4 %
(24.0 %)
Sales and marketing expenses decreased by 46.0% to RMB1,372 million (US$189 million) in the second quarter of 2024 from RMB2,540 million in the same period of 2023. The decrease was mainly due to 1) the decreased loan-related expenses as a result of the decrease in loan balance and 2) decreased retention expenses and referral expenses from platform service attributable to the Company’s exit from the Lujintong business that it had previously conducted.General and administrative expenses increased by 3.5% to RMB511 million (US$70 million) in the second quarter of 2024 from RMB493 million in the same period of 2023, mainly due to the increased investment in newly acquired businesses.Operation and servicing expenses decreased by 15.8% to RMB1,327 million (US$183 million) in the second quarter of 2024 from RMB1,576 million in the same period of 2023, due to the Company’s expense control measures and decrease of loan balance, partially offset by increased commission associated with improved collection performance.Technology and analytics expenses decreased by 20.0% to RMB275 million (US$38 million) in the second quarter of 2024 from RMB344 million in the same period of 2023, primarily due to the Company’s expense control measures.Credit impairment losses decreased by 14.6% to RMB2,560 million (US$352 million) in the second quarter of 2024 from RMB2,998 million in the same period of 2023, mainly due to the decrease in actual losses of loans as a result of the improvement of credit performance, partially offset by the upfront provision from loans under the 100% guarantee model.Finance costs decreased by 90.2% to RMB13 million (US$2 million) in the second quarter of 2024 from RMB136 million in the same period of 2023, mainly due to the decrease of interest expenses as a result of repayment of C-Round Convertible Promissory Notes and other debts, partially offset by the decrease of interest income from bank deposits.Other losses were RMB282 million (US$39 million) in the second quarter of 2024, compared to other gains of RMB130 million in the same period of 2023, mainly due to the increase of foreign exchange losses and losses associated with certain risk assets.
NET LOSS
Net loss was RMB730 million (US$100 million) in the second quarter of 2024, compared to a net profit of RMB1,004 million in the same period of 2023, as a result of the aforementioned factors.
LOSS PER ADS
Basic and diluted loss per American Depositary Share (“ADS”) were both RMB1.38 (US$0.19) in the second quarter of 2024. Each one ADS represents two ordinary shares.
BALANCE SHEET
The Company had RMB37,114 million (US$5,107 million) in cash at bank as of June 30, 2024, as compared to RMB39,599 million as of December 31, 2023. Net assets of the Company amounted to RMB82,676 million (US$11,377 million) as of June 30, 2024, as compared to RMB93,684 million as of December 31, 2023.
SEMI-ANNUAL DIVIDEND
In light of the net loss recorded for the six months ended June 30, 2024, the board of directors of the Company has determined that no semi-annual dividend shall be paid at this time.
Conference Call Information
The Company’s management will hold an earnings conference call at 9:00 P.M. U.S. Eastern Time on Wednesday, August 21, 2024 (9:00 A.M. Beijing Time on Thursday, August 22, 2024) to discuss the financial results. For participants who wish to join the call, please complete online registration using the link provided below in advance of the conference call. Upon registering, each participant will receive a set of participant dial-in numbers, the event passcode, and a unique access PIN, which can be used to join the conference call.
Registration Link: https://dpregister.com/sreg/10191825/fd49d1bf63
A live and archived webcast of the conference call will also be available at the Company’s investor relations website at https://ir.lufaxholding.com.
The replay will be accessible through August 28, 2024, by dialing the following numbers:
United States:
1-877-344-7529
International:
1-412-317-0088
Conference ID:
8154019
About Lufax
Lufax is a leading financial services enabler for small business owners in China. The Company offers financing products designed principally to address the needs of small business owners. In doing so, the Company has established relationships with 85 financial institutions in China as funding partners, many of which have worked with the Company for over three years.
Exchange Rate Information
This announcement contains translations of certain RMB amounts into U.S. dollars at a specified rate solely for the convenience of the reader. Unless otherwise noted, all translations from RMB to U.S. dollars are made at a rate of RMB7.2672 to US$1.00, the rate in effect as of June 30, 2024, as certified for customs purposes by the Federal Reserve Bank of New York.
Safe Harbor Statement
This announcement contains forward-looking statements. These statements are made under the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates” and similar statements. Statements that are not historical facts, including statements about Lufax’ s beliefs and expectations, are forward-looking statements. Lufax has based these forward-looking statements largely on its current expectations and projections about future events and financial trends, which involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and many of which are beyond the Company’s control. These forward-looking statements include, but are not limited to, statements about Lufax’ s goals and strategies; Lufax’ s future business development, financial condition and results of operations; expected changes in Lufax’ s income, expenses or expenditures; expected growth of the retail credit enablement; Lufax’ s expectations regarding demand for, and market acceptance of, its services; Lufax’s expectations regarding its relationship with borrowers, platform investors, funding sources, product providers and other business partners; general economic and business conditions; and government policies and regulations relating to the industry Lufax operates in. Forward-looking statements involve inherent risks and uncertainties. Further information regarding these and other risks is included in Lufax’s filings with the U.S. Securities and Exchange Commission. All information provided in this press release is as of the date of this press release, and Lufax does not undertake any obligation to update any forward-looking statement, except as required under applicable law.
Investor Relations Contact
Lufax Holding Ltd
Email: Investor_Relations@lu.com
ICR, LLC
Robin Yang
Tel: +1 (646) 308-0546
Email: lufax.ir@icrinc.com
LUFAX HOLDING LTD
UNAUDITED INTERIM CONDENSED CONSOLIDATED INCOME STATEMENTS
(All amounts in thousands, except share data, or otherwise noted)
Three Months Ended June 30,
Six Months Ended June 30,
2023
2024
2023
2024
RMB
RMB
USD
RMB
RMB
USD
Technology platform-based income
4,075,697
1,998,817
275,046
9,086,070
4,551,892
626,361
Net interest income
3,366,917
2,715,749
373,699
6,715,547
5,560,940
765,211
Guarantee income
1,148,646
850,152
116,985
2,565,405
1,775,400
244,303
Other income
310,170
317,600
43,703
537,632
636,783
87,624
Investment income
370,043
93,899
12,921
445,007
415,657
57,196
Share of net profits of investments accounted for using
the equity method
(1,151)
–
–
(1,587)
(691)
(95)
Total income
9,270,322
5,976,217
822,355
19,348,074
12,939,981
1,780,601
Sales and marketing expenses
(2,540,067)
(1,371,539)
(188,730)
(5,570,120)
(2,889,635)
(397,627)
General and administrative
expenses
(493,345)
(510,695)
(70,274)
(1,249,416)
(993,199)
(136,669)
Operation and servicing expenses
(1,576,137)
(1,327,251)
(182,636)
(3,134,026)
(2,654,672)
(365,295)
Technology and analytics
expenses
(344,131)
(275,395)
(37,896)
(685,616)
(527,733)
(72,618)
Credit impairment losses
(2,997,706)
(2,560,088)
(352,280)
(6,129,506)
(5,421,572)
(746,033)
Finance costs
(135,649)
(13,249)
(1,823)
(324,288)
(71,405)
(9,826)
Other gains/(losses) – net
130,444
(282,488)
(38,872)
172,856
(298,990)
(41,142)
Total expenses
(7,956,591)
(6,340,705)
(872,510)
(16,920,116)
(12,857,206)
(1,769,210)
Profit before income tax
expenses
1,313,731
(364,488)
(50,155)
2,427,958
82,775
11,390
Income tax expenses
(310,113)
(365,503)
(50,295)
(691,970)
(1,642,727)
(226,047)
Net profit/(loss) for the period
1,003,618
(729,991)
(100,450)
1,735,988
(1,559,952)
(214,657)
Net profit/(loss) attributable to:
Owners of the Group
965,349
(792,072)
(108,993)
1,637,325
(1,662,535)
(228,772)
Non-controlling interests
38,269
62,081
8,543
98,663
102,583
14,116
Net profit/(loss) for the period
1,003,618
(729,991)
(100,450)
1,735,988
(1,559,952)
(214,657)
Earnings per share
-Basic earnings/(loss) per share
0.84
(0.69)
(0.09)
1.43
(1.45)
(0.20)
-Diluted earnings/(loss) per share
0.84
(0.69)
(0.09)
1.43
(1.45)
(0.20)
-Basic earnings/(loss) per ADS
1.68
(1.38)
(0.19)
2.86
(2.90)
(0.40)
-Diluted earnings/(loss) per ADS
1.68
(1.38)
(0.19)
2.86
(2.90)
(0.40)
LUFAX HOLDING LTD
UNAUDITED INTERIM CONDENSED CONSOLIDATED STATEMENTS OF FINANCIAL POSITION
(All amounts in thousands, except share data, or otherwise noted)
As of December 31,
As of June 30,
2023
2024
RMB
RMB
USD
Assets
Cash at bank
39,598,785
37,113,898
5,107,042
Restricted cash
11,145,838
10,683,924
1,470,157
Financial assets at fair value through profit or loss
28,892,604
29,249,592
4,024,878
Financial assets at fair value through other comprehensive income
–
1,739,416
239,352
Financial assets at amortized cost
3,011,570
2,918,120
401,547
Accounts and other receivables and contract assets
7,293,671
5,410,456
744,504
Loans to customers
129,693,954
112,708,888
15,509,259
Deferred tax assets
5,572,042
5,476,280
753,561
Property and equipment
180,310
162,426
22,351
Investments accounted for using the equity method
2,609
–
–
Intangible assets
874,919
1,016,210
139,835
Right-of-use assets
400,900
349,884
48,146
Goodwill
8,911,445
9,171,729
1,262,072
Other assets
1,444,362
929,279
127,873
Total assets
237,023,009
216,930,102
29,850,575
Liabilities
Payable to platform users
985,761
781,083
107,481
Borrowings
38,823,284
41,002,213
5,642,092
Customer deposits
–
3,126,937
430,281
Current income tax liabilities
782,096
447,523
61,581
Accounts and other payables and contract liabilities
6,977,118
15,188,201
2,089,966
Payable to investors of consolidated structured entities
83,264,738
61,693,369
8,489,290
Financing guarantee liabilities
4,185,532
3,507,405
482,635
Deferred tax liabilities
524,064
427,332
58,803
Lease liabilities
386,694
342,671
47,153
Convertible promissory note payable
5,650,268
5,898,783
811,700
Other liabilities
1,759,672
1,838,182
252,942
Total liabilities
143,339,227
134,253,699
18,473,924
Equity
Share capital
75
75
10
Share premium
32,142,233
22,306,417
3,069,465
Treasury shares
(5,642,768)
(5,642,768)
(776,471)
Other reserves
155,849
544,621
74,942
Retained earnings
65,487,099
63,824,564
8,782,552
Total equity attributable to owners of the Company
92,142,488
81,032,909
11,150,499
Non-controlling interests
1,541,294
1,643,494
226,152
Total equity
93,683,782
82,676,403
11,376,652
Total liabilities and equity
237,023,009
216,930,102
29,850,575
LUFAX HOLDING LTD
UNAUDITED INTERIM CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS
(All amounts in thousands, except share data, or otherwise noted)
Three Months Ended June 30,
Six Months Ended June 30
2023
2024
2023
2024
RMB
RMB
USD
RMB
RMB
USD
Net cash generated from/(used in)
operating activities
1,994,730
2,997,614
412,485
5,280,779
3,500,146
481,636
Net cash (used in)/generated from
investing activities
(339,249)
(224,994)
(30,960)
1,835,491
2,522,047
347,045
Net cash (used in) financing activities
(8,844,090)
(4,688,244)
(645,124)
(11,621,316)
(4,189,061)
(576,434)
Effects of exchange rate changes on
cash and cash equivalents
393,412
78,616
10,818
427,092
85,317
11,740
Net (decrease)/increase in cash and
cash equivalents
(6,795,197)
(1,837,008)
(252,781)
(4,077,954)
1,918,449
263,987
Cash and cash equivalents at the
beginning of the period
32,254,754
22,235,553
3,059,714
29,537,511
18,480,096
2,542,946
Cash and cash equivalents at the end of
the period
25,459,557
20,398,545
2,806,933
25,459,557
20,398,545
2,806,933
View original content:https://www.prnewswire.com/news-releases/lufax-reports-second-quarter-2024-financial-results-302227333.html
SOURCE Lufax Holding Ltd
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Technology
JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose
Published
34 minutes agoon
July 24, 2026By
A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network
LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.
Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.
Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.
JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.
JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.
Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.
“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”
“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”
JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.
Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.
Fast facts
JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.
About JAMS Software
Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.
Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267
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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html
BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:
Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.
Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.
View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html
SOURCE chinadaily.com.cn
Technology
Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026
Published
34 minutes agoon
July 24, 2026By
Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents
SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.
Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.
“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.
Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:
“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.
Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.
Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.
These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.
Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”
Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.
SOURCE Shanghai Electric
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