Alphabet Inc. (GOOG) Accumulated Expenses (2014 - 2026)
Alphabet (GOOG) reported Accumulated Expenses of $73.01 billion for Q2 2026, up 40.3% from $52.04 billion a year earlier and up 15.9% from the prior quarter.
Alphabet Inc. (GOOG) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Alphabet posted Accumulated Expenses of $55.56 billion, up 8.5% from FY2024.
- Accumulated Expenses has increased for 11 consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $51.23 billion in FY2024 (+11.0%), $46.17 billion in FY2023 (+21.9%), $37.87 billion in FY2022 (+18.2%) and $32.04 billion in FY2021 (+11.9%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2014.
- Year over year, Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 13.6% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2023 (growth of 58.7%); the low point was Q3 2024 (a decline of 16.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63.02 billion (Q1 2026), $55.56 billion (Q4 2025) and $59.44 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.01 Bn |
| Mar 31, 2026 | 63.02 Bn |
| Dec 31, 2025 | 55.56 Bn |
| Sep 30, 2025 | 59.44 Bn |
| Jun 30, 2025 | 52.04 Bn |
| Mar 31, 2025 | 58.30 Bn |
| Dec 31, 2024 | 51.23 Bn |
| Sep 30, 2024 | 46.59 Bn |
| Jun 30, 2024 | 47.30 Bn |
| Mar 31, 2024 | 48.60 Bn |
| Dec 31, 2023 | 46.17 Bn |
| Sep 30, 2023 | 55.60 Bn |
| Jun 30, 2023 | 49.30 Bn |
| Mar 31, 2023 | 43.19 Bn |
| Dec 31, 2022 | 37.87 Bn |
| Sep 30, 2022 | 35.04 Bn |
| Jun 30, 2022 | 32.98 Bn |
| Mar 31, 2022 | 33.05 Bn |
| Dec 31, 2021 | 32.04 Bn |
| Sep 30, 2021 | 30.11 Bn |
Alphabet Inc. Accumulated 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=accumulated-expenses&ticker=GOOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GOOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();