Graham (GHM) Retained Earnings (2010 - 2026)
Graham's Retained Earnings was $110.64 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.0% from $98.82 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Graham (GHM) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Retained Earnings at Graham came in at $106.73 million, up 13.3% from FY2025.
- Retained Earnings has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $94.23 million in FY2025 (+14.9%), $82 million in FY2024 (+5.9%), $77.44 million in FY2023 (+0.5%) and $77.08 million in FY2022 (-13.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q1 2011.
- Compared with a year earlier, Retained Earnings has increased for 14 straight quarters, with growth averaging 13.7% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q3 2026 (growth of 16.6%); the worst was fiscal Q4 2022 (a decline of 13.8%).
- Per Business Quant data, GHM's Retained Earnings in the three fiscal quarters before Q1 2027 was $106.73 million (Q4 2026), $104.76 million (Q3 2026) and $101.91 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 70.14 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 11.64 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 11.53 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 24.49 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 1.87 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 41.58 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 38.63 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 30.81 Bn |
| 10 | Graham | 1.01 Bn | 936.61 Mn | 17.80 Mn | 110.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.64 Mn |
| Mar 31, 2026 | 106.73 Mn |
| Dec 31, 2025 | 104.76 Mn |
| Sep 30, 2025 | 101.91 Mn |
| Jun 30, 2025 | 98.82 Mn |
| Mar 31, 2025 | 94.23 Mn |
| Dec 31, 2024 | 89.83 Mn |
| Sep 30, 2024 | 88.25 Mn |
| Jun 30, 2024 | 84.97 Mn |
| Mar 31, 2024 | 82.00 Mn |
| Dec 31, 2023 | 80.66 Mn |
| Sep 30, 2023 | 80.49 Mn |
| Jun 30, 2023 | 80.08 Mn |
| Mar 31, 2023 | 77.44 Mn |
| Dec 31, 2022 | 77.92 Mn |
| Sep 30, 2022 | 77.56 Mn |
| Jun 30, 2022 | 77.75 Mn |
| Mar 31, 2022 | 77.08 Mn |
| Dec 31, 2021 | 78.50 Mn |
| Sep 30, 2021 | 83.40 Mn |
API Access
Graham 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=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "GHM", "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=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();