International Business Machines (IBM) Retained Earnings (2009 - 2026)
International Business Machines' Retained Earnings was $155.94 billion in Q2 2026, up 3.0% from $151.37 billion a year earlier and up 0.4% from the prior quarter.
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Analysis
International Business Machines (IBM) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at International Business Machines came in at $155.65 billion, up 3.0% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $151.16 billion in FY2024 (-0.1%), $151.28 billion in FY2023 (+1.0%), $149.83 billion in FY2022 (-2.8%) and $154.21 billion in FY2021 (-5.2%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings since Q3 2021.
- Compared with a year earlier, Retained Earnings has increased for four straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q1 2026 (growth of 3.1%); the worst was Q3 2022 (a decline of 8.1%).
- Per Business Quant data, IBM's Retained Earnings in the three quarters before Q2 2026 was $155.33 billion (Q1 2026), $155.65 billion (Q4 2025) and $151.58 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 328.27 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 155.94 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -1.40 Bn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 7.00 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 3.73 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -4.01 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | -11.34 Bn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | -3.71 Bn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 3.61 Bn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 7.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.94 Bn |
| Mar 31, 2026 | 155.33 Bn |
| Dec 31, 2025 | 155.65 Bn |
| Sep 30, 2025 | 151.58 Bn |
| Jun 30, 2025 | 151.37 Bn |
| Mar 31, 2025 | 150.70 Bn |
| Dec 31, 2024 | 151.16 Bn |
| Sep 30, 2024 | 149.79 Bn |
| Jun 30, 2024 | 151.66 Bn |
| Mar 31, 2024 | 151.36 Bn |
| Dec 31, 2023 | 151.28 Bn |
| Sep 30, 2023 | 149.51 Bn |
| Jun 30, 2023 | 149.32 Bn |
| Mar 31, 2023 | 149.25 Bn |
| Dec 31, 2022 | 149.83 Bn |
| Sep 30, 2022 | 148.61 Bn |
| Jun 30, 2022 | 153.30 Bn |
| Mar 31, 2022 | 153.40 Bn |
| Dec 31, 2021 | 154.21 Bn |
| Sep 30, 2021 | 161.75 Bn |
API Access
International Business Machines 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=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "IBM", "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=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();