Graham (GHM) Assets (2011 - 2026)
Graham's Assets was $363.96 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.2% from $252.34 million a year earlier and up 12.5% from the prior quarter.
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Analysis
Graham (GHM) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Assets at Graham came in at $323.62 million, up 22.5% from FY2025.
- Assets has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- In earlier fiscal years, Assets was $264.11 million in FY2025 (+12.9%), $233.88 million in FY2024 (+14.7%), $203.92 million in FY2023 (+11.0%) and $183.69 million in FY2022 (+27.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Assets has increased for 15 straight quarters, with growth averaging 18.4% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was fiscal Q1 2027 (growth of 44.2%); the worst was fiscal Q2 2023 (a decline of 1.5%).
- Per Business Quant data, GHM's Assets in the three fiscal quarters before Q1 2027 was $323.62 million (Q4 2026), $292.93 million (Q3 2026) and $286.99 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 363.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 363.96 Mn |
| Mar 31, 2026 | 323.62 Mn |
| Dec 31, 2025 | 292.93 Mn |
| Sep 30, 2025 | 286.99 Mn |
| Jun 30, 2025 | 252.34 Mn |
| Mar 31, 2025 | 264.11 Mn |
| Dec 31, 2024 | 264.25 Mn |
| Sep 30, 2024 | 249.53 Mn |
| Jun 30, 2024 | 244.17 Mn |
| Mar 31, 2024 | 233.88 Mn |
| Dec 31, 2023 | 218.71 Mn |
| Sep 30, 2023 | 213.13 Mn |
| Jun 30, 2023 | 210.03 Mn |
| Mar 31, 2023 | 203.92 Mn |
| Dec 31, 2022 | 207.66 Mn |
| Sep 30, 2022 | 188.91 Mn |
| Jun 30, 2022 | 184.21 Mn |
| Mar 31, 2022 | 183.69 Mn |
| Dec 31, 2021 | 196.08 Mn |
| Sep 30, 2021 | 191.84 Mn |
API Access
Graham Assets 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=assets&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();