Alphabet (GOOGL) Operating Expenses (2014 - 2026)
Alphabet (GOOGL) recorded Operating Expenses of $79.03 billion in Q2 2026, up 21.3% from $65.16 billion a year earlier and up 12.6% from the prior quarter.
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Analysis
Alphabet (GOOGL) Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Alphabet's Operating Expenses came in at $298.24 billion as of Jun 30, 2026, up 19.3% year-over-year; for FY2025, it came in at $273.8 billion, up 15.2% from FY2024.
- Annual Operating Expenses has increased for 12 straight years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $237.63 billion in FY2024 (+6.5%), $223.1 billion in FY2023 (+7.3%), $207.99 billion in FY2022 (+16.2%) and $178.92 billion in FY2021 (+26.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2014.
- On a year-over-year basis, Operating Expenses has increased for 44 consecutive quarters, with growth averaging 13.9% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 4.6% (Q4 2024) and 29.6% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $70.2 billion (Q1 2026), $77.9 billion (Q4 2025) and $71.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Airbnb | 95.83 Bn | 49.06 Bn | 2.98 Bn | 2.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.03 Bn |
| Mar 31, 2026 | 70.20 Bn |
| Dec 31, 2025 | 77.90 Bn |
| Sep 30, 2025 | 71.12 Bn |
| Jun 30, 2025 | 65.16 Bn |
| Mar 31, 2025 | 59.63 Bn |
| Dec 31, 2024 | 65.50 Bn |
| Sep 30, 2024 | 59.75 Bn |
| Jun 30, 2024 | 57.32 Bn |
| Mar 31, 2024 | 55.07 Bn |
| Dec 31, 2023 | 62.61 Bn |
| Sep 30, 2023 | 55.35 Bn |
| Jun 30, 2023 | 52.77 Bn |
| Mar 31, 2023 | 52.37 Bn |
| Dec 31, 2022 | 57.89 Bn |
| Sep 30, 2022 | 51.96 Bn |
| Jun 30, 2022 | 50.23 Bn |
| Mar 31, 2022 | 47.92 Bn |
| Dec 31, 2021 | 53.44 Bn |
| Sep 30, 2021 | 44.09 Bn |
API Access
Alphabet Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=GOOGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GOOGL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GOOGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();