Alphabet (GOOG) Retained Earnings (2014 - 2026)
Powered by 
Analysis
Alphabet (GOOG) Retained Earnings (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 516.78 Bn |
| Jun 30, 2026 | 493.37 Bn |
| Mar 31, 2026 | 384.02 Bn |
| Dec 31, 2025 | 324.06 Bn |
| Sep 30, 2025 | 297.23 Bn |
| Jun 30, 2025 | 275.76 Bn |
| Mar 31, 2025 | 262.63 Bn |
| Dec 31, 2024 | 245.08 Bn |
| Sep 30, 2024 | 235.32 Bn |
| Jun 30, 2024 | 226.03 Bn |
| Mar 31, 2024 | 219.77 Bn |
| Dec 31, 2023 | 211.25 Bn |
| Sep 30, 2023 | 205.65 Bn |
| Jun 30, 2023 | 200.88 Bn |
| Mar 31, 2023 | 196.63 Bn |
| Dec 31, 2022 | 195.56 Bn |
| Sep 30, 2022 | 196.22 Bn |
| Jun 30, 2022 | 196.85 Bn |
| Mar 31, 2022 | 195.22 Bn |
| Dec 31, 2021 | 191.48 Bn |
API Access
Alphabet Retained Earnings 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=retained-earnings&ticker=GOOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GOOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();