Alphabet (GOOGL) Accumulated Expenses (2014 - 2026)
Alphabet's Accumulated Expenses was $73.01 billion in Q2 2026, up 40.3% from $52.04 billion a year earlier and up 15.9% from the prior quarter.
Analysis
Alphabet (GOOGL) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Alphabet came in at $55.56 billion, up 8.5% from FY2024.
- Accumulated Expenses has now increased for 11 consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $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 marks the highest quarterly Accumulated Expenses in data going back to Q4 2014.
- Compared with a year earlier, Accumulated Expenses has increased for seven straight quarters, with growth averaging 13.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2023 (growth of 58.7%); the worst was Q3 2024 (a decline of 16.2%).
- Per Business Quant data, GOOGL's Accumulated Expenses in the three quarters before Q2 2026 was $63.02 billion (Q1 2026), $55.56 billion (Q4 2025) and $59.44 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Airbnb | 95.83 Bn | 49.06 Bn | 2.98 Bn |
Historic Data
Download Data
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 |
API Access
Alphabet 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=GOOGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GOOGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();