Berliner Boersenzeitung - Google-parent Alphabet beats expectations, cloud revenue nearly doubles

EUR -
AED 4.232111
AFN 75.483338
ALL 93.285126
AMD 422.259
AOA 1057.884483
ARS 1728.27314
AUD 1.637355
AWG 2.074282
AZN 1.948129
BAM 1.956537
BBD 2.325376
BDT 142.913814
BHD 0.435364
BIF 3450.549574
BMD 1.152379
BND 1.480393
BOB 13.964198
BRL 5.891306
BSD 1.154535
BTN 109.874896
BWP 15.61488
BYN 3.418287
BYR 22586.626891
BZD 2.321974
CAD 1.615497
CDF 2604.376508
CHF 0.934643
CLF 0.02673
CLP 1055.440971
CNY 7.777463
CNH 7.774433
COP 3641.932253
CRC 525.197761
CUC 1.152379
CUP 30.538041
CVE 110.303663
CZK 24.256194
DJF 205.597417
DKK 7.475499
DOP 67.275332
DZD 153.346558
EGP 57.370946
ERN 17.285684
ETB 186.347968
FJD 2.551309
FKP 0.856496
GBP 0.85733
GEL 3.013436
GGP 0.856496
GHS 13.570757
GIP 0.856496
GMD 85.276242
GNF 10139.201975
GTQ 8.809317
GYD 241.539903
HKD 9.040442
HNL 30.944652
HRK 7.534482
HTG 150.95029
HUF 366.519917
IDR 20604.535143
ILS 3.465739
IMP 0.856496
INR 109.762882
IQD 1512.462949
IRR 1584348.162378
ISK 142.411184
JEP 0.856496
JMD 183.008911
JOD 0.81702
JPY 182.503455
KES 149.119782
KGS 100.775889
KHR 4683.930475
KMF 492.065825
KRW 1633.531568
KWD 0.356065
KYD 0.962162
KZT 541.02372
LAK 26086.822873
LBP 103388.630514
LKR 387.81603
LRD 208.397567
LSL 18.831591
LTL 3.402675
LVL 0.697063
LYD 7.359771
MAD 10.772009
MDL 20.088564
MGA 4963.869122
MKD 61.548176
MMK 2419.480296
MNT 4144.000792
MOP 9.328972
MRU 46.285429
MUR 54.242586
MVR 17.815708
MWK 2001.953827
MXN 19.792091
MYR 4.714415
MZN 73.639049
NAD 18.831591
NGN 1572.438973
NIO 42.484154
NOK 10.977222
NPR 175.800197
NZD 1.962346
OMR 0.443084
PAB 1.15453
PEN 3.902569
PGK 5.100921
PHP 70.185659
PKR 320.527693
PLN 4.302263
PYG 6867.585958
QAR 4.220243
RON 5.256461
RSD 117.34213
RUB 94.667126
RWF 1696.038636
SAR 4.32528
SBD 9.297794
SCR 16.700579
SDG 692.002662
SEK 10.945041
SGD 1.476837
SLE 28.349629
SOS 659.848463
SRD 43.636562
STD 23851.917062
STN 24.509229
SVC 10.101804
SZL 18.816085
THB 38.093084
TJS 10.650564
TMT 4.039088
TND 3.386158
TRY 54.974007
TTD 7.816943
TWD 37.203862
TZS 3050.926677
UAH 51.697166
UGX 4300.600712
USD 1.152379
UYU 46.497307
UZS 13759.121235
VES 869.137148
VND 30185.989698
VUV 137.145062
WST 3.144168
XAF 656.204091
XAG 0.017901
XAU 0.000268
XCD 3.114361
XCG 2.080784
XDR 0.816107
XOF 656.204091
XPF 119.331742
YER 272.941263
ZAR 18.773693
ZMK 10372.788581
ZMW 21.965271
ZWL 371.065543
  • RBGPF

    0.0000

    69.74

    0%

  • GSK

    0.7100

    52.17

    +1.36%

  • RYCEF

    -0.3800

    20.62

    -1.84%

  • AZN

    -0.4300

    161.07

    -0.27%

  • RIO

    -1.8600

    99.65

    -1.87%

  • BTI

    -0.5400

    58.73

    -0.92%

  • VOD

    0.6900

    16

    +4.31%

  • NGG

    0.1500

    80.41

    +0.19%

  • CMSC

    -0.0100

    21.72

    -0.05%

  • RELX

    -0.8600

    35.75

    -2.41%

  • CMSD

    -0.0600

    21.98

    -0.27%

  • BCC

    -0.5400

    84.26

    -0.64%

  • BCE

    0.7100

    22.77

    +3.12%

  • JRI

    -0.0100

    12.66

    -0.08%

  • BP

    1.0200

    42.23

    +2.42%

Google-parent Alphabet beats expectations, cloud revenue nearly doubles

Google-parent Alphabet beats expectations, cloud revenue nearly doubles

Google's cloud business grew by more than 80 percent, the company said on Wednesday, which exceeded investor expectations who are looking for signs that the company's AI investments are paying off.

Text size:

CEO Sundar Pichai said in a statement that the successful quarter was due in part to growth of its AI model Gemini and AI search queries, as well as YouTube where more than 1.7 billion unique viewers tuned in to videos related to the 2026 FIFA World Cup.

"Our AI investments are redefining what’s possible across every part of our business," Pichai said.

The company recorded more than $119 billion in total revenue between April and June, up 24 percent compared to the same period last year.

Its cloud business recorded more than $24 billion in the quarter, and its net profit tripled to over $112 billion.

And its Gemini app has grown to 950 million monthly active users.

That puts its AI chat app within striking distance of OpenAI's ChatGPT which hit 1 billion monthly active users in June, according to reports.

Alphabet spent nearly $45 billion in the quarter, "the vast majority" of which went towards AI investments, CFO Anat Ashkenazi said during a call with analysts.

The company also increased its capital expenditure estimate for the full year to as much as $205 billion, a jump from $190 billion last quarter.

The increase is "primarily due to an acceleration in the delivery of capacity to meet growing demand," Ashkenazi continued. "We continue to expect our capex to increase significantly in 2027, and will provide more details at a later date."

The company's stock fluctuated after hours and dropped by more than 4 percent.

-AI race-

Major tech companies in the US have been spending billions to build out AI infrastructure and develop increasingly more advanced AI models.

In June, Google parent company Alphabet announced it would raise up to $80 billion in stock to fund its AI efforts, with Warren Buffett's Berkshire Hathaway committing $10 billion.

The spending is part of a larger race across the tech sector to stay competitive amid soaring demand for computing power.

Amazon, Microsoft, Alphabet and Meta are collectively on track to pour roughly $700 billion into AI data centers, chips and computing infrastructure this year.

Amidst competition for customers, AI developers are also designing lower-cost versions of their own models.

On Tuesday, Google launched three new models under the name "Flash" which the company described as cheaper, faster and more reliable.

Cheaper and faster models coming from developers in China -- particularly from DeepSeek and Moonshot -- have ruffled feathers, and raised concerns about intellectual property theft, in the US.

This week, White House technology official Michael Kratsios accused Moonshot of creating its new Kimi K3 model off of Anthropic's powerful new model known as Fable.

Distillation is a technique in which a smaller AI model is trained to mimic the outputs of a larger, more capable one.

(Y.Berger--BBZ)