Alphabet (GOOGM) Change in Accrued Expenses (2014 - 2026)
Alphabet's Change in Accrued Expenses was $6.31 billion in Q2 2026, up 100.3% from $3.15 billion a year earlier.
Alphabet (GOOGM) Change in Accrued Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alphabet's Change in Accrued Expenses was $15.03 billion through Jun 30, 2026, up 572.0% year-over-year; for FY2025, it came in at $12.94 billion.
- Change in Accrued Expenses shows a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was -$1.16 billion in FY2024, $3.94 billion in FY2023 (+0.6%), $3.92 billion in FY2022 (-46.4%) and $7.3 billion in FY2021 (+32.7%).
- Quarterly Change in Accrued Expenses has moved between -$6 billion (Q1 2026) and $7.98 billion (Q3 2025) over five years.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q2 2026 (growth of 100.3%); the worst was Q2 2023 (a decline of 69.3%).
- Per Business Quant data, GOOGM's Change in Accrued Expenses in the three quarters before Q2 2026 was -$6 billion (Q1 2026), $6.74 billion (Q4 2025) and $7.98 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.17 Bn |
| Jun 30, 2026 | 6.31 Bn |
| Mar 31, 2026 | -6.00 Bn |
| Dec 31, 2025 | 6.64 Bn |
| Sep 30, 2025 | 8.08 Bn |
| Jun 30, 2025 | 3.15 Bn |
| Mar 31, 2025 | -4.93 Bn |
| Dec 31, 2024 | 5.21 Bn |
| Sep 30, 2024 | -1.19 Bn |
| Jun 30, 2024 | -122.00 Mn |
| Mar 31, 2024 | -5.05 Bn |
| Dec 31, 2023 | 4.32 Bn |
| Sep 30, 2023 | 3.66 Bn |
| Jun 30, 2023 | 459.00 Mn |
| Mar 31, 2023 | -4.50 Bn |
| Dec 31, 2022 | 3.42 Bn |
| Sep 30, 2022 | 2.21 Bn |
| Jun 30, 2022 | 1.50 Bn |
| Mar 31, 2022 | -3.22 Bn |
| Dec 31, 2021 | 4.54 Bn |
Alphabet Change in Accrued 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=change-in-accured-expenses&ticker=GOOGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GOOGM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=GOOGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();