Graham (GHM) Enterprise Value (2010 - 2026)
Graham's Enterprise Value came in at $1.42 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 167.5% from $532.67 million a year earlier and up 64.3% from the prior quarter.
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Analysis
Graham (GHM) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Graham reported Enterprise Value of $1.38 billion, up 206.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $867.3 million, up 196.4% from FY2025.
- Enterprise Value has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 62.4% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $292.65 million in FY2025 (+4.9%), $279.05 million in FY2024 (+130.9%), $120.85 million in FY2023 (+79.7%) and $67.26 million in FY2022 (-12.4%).
- The fiscal Q1 2027 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- Year-over-year, Enterprise Value has increased for 14 consecutive quarters, with growth averaging 104.6% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2026 (growth of 196.4%), and the weakest in fiscal Q1 2023 (a decline of 52.8%).
- Business Quant data shows GHM's Enterprise Value at $867.3 million (Q4 2026), $683.51 million (Q3 2026) and $582.66 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 867.30 Mn |
| Dec 31, 2025 | 683.51 Mn |
| Sep 30, 2025 | 582.66 Mn |
| Jun 30, 2025 | 532.67 Mn |
| Mar 31, 2025 | 292.65 Mn |
| Dec 31, 2024 | 454.23 Mn |
| Sep 30, 2024 | 289.92 Mn |
| Jun 30, 2024 | 284.52 Mn |
| Mar 31, 2024 | 279.05 Mn |
| Dec 31, 2023 | 190.24 Mn |
| Sep 30, 2023 | 151.87 Mn |
| Jun 30, 2023 | 117.10 Mn |
| Mar 31, 2023 | 120.85 Mn |
| Dec 31, 2022 | 84.86 Mn |
| Sep 30, 2022 | 79.15 Mn |
| Jun 30, 2022 | 60.46 Mn |
| Mar 31, 2022 | 67.26 Mn |
| Dec 31, 2021 | 118.35 Mn |
| Sep 30, 2021 | 115.45 Mn |
API Access
Graham Enterprise Value 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=enterprise-value&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();