Graham (GHM) EBITDA Margin (2010 - 2026)
Graham's EBITDA Margin was 9.63% in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.06 percentage points from 11.69% a year earlier but up 1.70 percentage points from the prior quarter.
Graham (GHM) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graham's EBITDA Margin was 8.90% through Jun 30, 2026, down 1.76 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 9.32%, down 0.74 percentage points from FY2025.
- EBITDA Margin shows a five-year change of +4.25 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was 10.06% in FY2025 (+3.41 pp), 6.66% in FY2024 (+2.05 pp), 4.61% in FY2023 (+9.28 pp) and -4.68% in FY2022 (-9.75 pp).
- Quarterly EBITDA Margin has moved between -10.40% (fiscal Q3 2022) and 11.93% (fiscal Q4 2025) over five years.
- Compared with a year earlier, EBITDA Margin was higher in five of the last eight quarters, with an average year-over-year change of +1.28 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q1 2023 (a gain of 22.64 percentage points); the worst was fiscal Q3 2022 (a drop of 16.95 percentage points).
- Per Business Quant data, GHM's EBITDA Margin in the three fiscal quarters before Q1 2027 was 7.94% (Q4 2026), 9.05% (Q3 2026) and 8.96% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 28.95% |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 9.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.63% |
| Mar 31, 2026 | 7.94% |
| Dec 31, 2025 | 9.05% |
| Sep 30, 2025 | 8.96% |
| Jun 30, 2025 | 11.69% |
| Mar 31, 2025 | 11.93% |
| Dec 31, 2024 | 7.98% |
| Sep 30, 2024 | 10.56% |
| Jun 30, 2024 | 9.28% |
| Mar 31, 2024 | 6.31% |
| Dec 31, 2023 | 5.32% |
| Sep 30, 2023 | 4.45% |
| Jun 30, 2023 | 10.35% |
| Mar 31, 2023 | 2.71% |
| Dec 31, 2022 | 5.45% |
| Sep 30, 2022 | 3.76% |
| Jun 30, 2022 | 6.82% |
| Mar 31, 2022 | -1.13% |
| Dec 31, 2021 | -10.40% |
| Sep 30, 2021 | 2.59% |
Graham EBITDA Margin 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=ebitda-margin&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();