Alphabet (GOOGL) Other Operating Expenses (2014 - 2026)
Alphabet's Other Operating Expenses was $72.57 billion in Q2 2026, up 21.0% from $59.95 billion a year earlier and up 10.1% from the prior quarter.
Alphabet (GOOGL) Other Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alphabet's Other Operating Expenses was $274.75 billion through Jun 30, 2026, up 17.8% year-over-year; for FY2025, it came in at $252.32 billion, up 12.9% from FY2024.
- Other Operating Expenses has now increased for 12 consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $223.44 billion in FY2024 (+8.1%), $206.68 billion in FY2023 (+7.5%), $192.27 billion in FY2022 (+16.2%) and $165.41 billion in FY2021 (+27.0%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q3 2014.
- Compared with a year earlier, Other Operating Expenses has increased for 28 straight quarters, with growth averaging 13.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 3.4% in Q1 2023 to 28.3% in Q4 2021.
- Per Business Quant data, GOOGL's Other Operating Expenses in the three quarters before Q2 2026 was $65.91 billion (Q1 2026), $72.55 billion (Q4 2025) and $63.73 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn |
| 3 | Netflix | 255.21 Bn | 216.51 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 219.23 Bn | 41.30 Bn | 15.16 Bn |
| 5 | Shopify | 189.29 Bn | 174.44 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.08 Bn | 113.28 Bn | 6.42 Bn |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - |
| 10 | PDD Holdings | 112.41 Bn | -131.65 Bn | 9.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.22 Bn |
| Jun 30, 2026 | 54.35 Bn |
| Mar 31, 2026 | 48.88 Bn |
| Dec 31, 2025 | 53.98 Bn |
| Sep 30, 2025 | 48.57 Bn |
| Jun 30, 2025 | 46.14 Bn |
| Mar 31, 2025 | 42.53 Bn |
| Dec 31, 2024 | 47.98 Bn |
| Sep 30, 2024 | 43.70 Bn |
| Jun 30, 2024 | 42.30 Bn |
| Mar 31, 2024 | 40.14 Bn |
| Dec 31, 2023 | 45.29 Bn |
| Sep 30, 2023 | 40.11 Bn |
| Jun 30, 2023 | 38.70 Bn |
| Mar 31, 2023 | 34.58 Bn |
| Dec 31, 2022 | 42.53 Bn |
| Sep 30, 2022 | 38.09 Bn |
| Jun 30, 2022 | 36.73 Bn |
| Mar 31, 2022 | 35.42 Bn |
| Dec 31, 2021 | 40.59 Bn |
Alphabet Other 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=other-operating-expenses&ticker=GOOGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GOOGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();