Alphabet (GOOG) Operating Expenses (2014 - 2026)
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Analysis
Alphabet (GOOG) Operating Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 87.00 Bn |
| 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 |
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=GOOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GOOG", "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=GOOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();