Graham (GHM) Revenue (2010 - 2026)
Graham's Revenue was $71.34 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 28.6% from $55.49 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Graham (GHM) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graham's Revenue was $261.15 million through Jun 30, 2026, up 21.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $245.29 million, up 16.9% from FY2025.
- Revenue has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 20.3% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $209.9 million in FY2025 (+13.1%), $185.53 million in FY2024 (+18.1%), $157.12 million in FY2023 (+27.9%) and $122.81 million in FY2022 (+26.0%).
- The fiscal Q1 2027 figure marks the highest quarterly Revenue in data going back to fiscal Q1 2011.
- Compared with a year earlier, Revenue has increased for 24 straight quarters, with growth averaging 18.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 5.0% in fiscal Q1 2025 to 79.0% in fiscal Q1 2023.
- Per Business Quant data, GHM's Revenue in the three fiscal quarters before Q1 2027 was $67.08 million (Q4 2026), $56.7 million (Q3 2026) and $66.03 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn | 71.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.34 Mn |
| Mar 31, 2026 | 67.08 Mn |
| Dec 31, 2025 | 56.70 Mn |
| Sep 30, 2025 | 66.03 Mn |
| Jun 30, 2025 | 55.49 Mn |
| Mar 31, 2025 | 59.35 Mn |
| Dec 31, 2024 | 47.04 Mn |
| Sep 30, 2024 | 53.56 Mn |
| Jun 30, 2024 | 49.95 Mn |
| Mar 31, 2024 | 49.07 Mn |
| Dec 31, 2023 | 43.82 Mn |
| Sep 30, 2023 | 45.08 Mn |
| Jun 30, 2023 | 47.57 Mn |
| Mar 31, 2023 | 43.03 Mn |
| Dec 31, 2022 | 39.87 Mn |
| Sep 30, 2022 | 38.14 Mn |
| Jun 30, 2022 | 36.08 Mn |
| Mar 31, 2022 | 39.74 Mn |
| Dec 31, 2021 | 28.77 Mn |
| Sep 30, 2021 | 34.15 Mn |
API Access
Graham Revenue 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=revenue&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();