Alphabet (GOOGN) Change in Accrued Expenses (2014 - 2026)
Alphabet's Change in Accrued Expenses came in at $6.31 billion for Q2 2026, up 100.3% from $3.15 billion a year earlier.
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Analysis
Alphabet (GOOGN) Change in Accrued Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alphabet reported Change in Accrued Expenses of $15.03 billion, up 572.0% year-over-year; for FY2025, it was $12.94 billion.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- Going back by year, 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%).
- The five-year range for quarterly Change in Accrued Expenses is -$6 billion (Q1 2026) to $7.98 billion (Q3 2025).
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q2 2026 (growth of 100.3%), and the weakest in Q2 2023 (a decline of 69.3%).
- Business Quant data shows GOOGN's Change in Accrued Expenses at -$6 billion (Q1 2026), $6.74 billion (Q4 2025) and $7.98 billion (Q3 2025) in the three quarters before Q2 2026.
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Peer Comparison
Historic Data
Download Data
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 |
API Access
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=GOOGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GOOGN", "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=GOOGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();