Nvidia (NVDA) Retained Earnings (2009 - 2026)
Nvidia (NVDA) posted Retained Earnings of $219.16 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 147.0% from $88.74 billion a year earlier and up 18.4% from the prior quarter.
Nvidia (NVDA) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia's Retained Earnings came in at $146.97 billion, up 116.0% from FY2025.
- Annual Retained Earnings has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 50.7% (FY2021 to FY2026).
- In prior fiscal years, Nvidia's Retained Earnings was $68.04 billion in FY2025 (+128.2%), $29.82 billion in FY2024 (+193.2%), $10.17 billion in FY2023 (-37.4%) and $16.24 billion in FY2022 (-14.1%).
- The fiscal Q2 2027 figure stands as the highest quarterly Retained Earnings in data going back to fiscal Q4 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 13 quarters, with growth averaging 125.4% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q2 2025, with growth of 208.0%; the weakest was fiscal Q3 2023, with a decline of 60.9%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $185.04 billion (Q1 2027), $146.97 billion (Q4 2026) and $107.91 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 131.85 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | 20.66 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 61.39 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | 37.29 Bn |
| 10 | Texas Instruments | 255.25 Bn | 233.08 Bn | 3.35 Bn | 53.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 219.16 Bn |
| Apr 26, 2026 | 185.04 Bn |
| Jan 25, 2026 | 146.97 Bn |
| Oct 26, 2025 | 107.91 Bn |
| Jul 27, 2025 | 88.74 Bn |
| Apr 27, 2025 | 72.16 Bn |
| Jan 26, 2025 | 68.04 Bn |
| Oct 27, 2024 | 53.95 Bn |
| Jul 28, 2024 | 45.96 Bn |
| Apr 28, 2024 | 36.60 Bn |
| Jan 28, 2024 | 29.82 Bn |
| Oct 29, 2023 | 20.36 Bn |
| Jul 30, 2023 | 14.92 Bn |
| Apr 30, 2023 | 12.12 Bn |
| Jan 29, 2023 | 10.17 Bn |
| Oct 30, 2022 | 9.91 Bn |
| Jul 31, 2022 | 12.97 Bn |
| May 1, 2022 | 15.76 Bn |
| Jan 30, 2022 | 16.24 Bn |
| Oct 31, 2021 | 25.36 Bn |
Nvidia 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=NVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "NVDA", "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=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();