Graham (GHM) Operating Margin (2010 - 2026)
Graham (GHM) posted Operating Margin of 5.82% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.13 percentage points from 8.95% a year earlier but up 1.86 percentage points from the prior quarter.
Graham (GHM) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Graham was 5.44%, down 2.42 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 6.12%, down 1.11 percentage points from FY2025.
- Annual Operating Margin shows a five-year change of +3.05 percentage points (FY2021 to FY2026).
- In prior fiscal years, Graham's Operating Margin was 7.24% in FY2025 (+3.51 pp), 3.73% in FY2024 (+2.94 pp), 0.80% in FY2023 (+10.03 pp) and -9.24% in FY2022 (-12.31 pp).
- Quarterly Operating Margin has run from a low of -15.92% in fiscal Q3 2022 to a high of 9.30% in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +1.04 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q1 2023, with a gain of 22.62 percentage points; the weakest was fiscal Q3 2022, with a drop of 20.68 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was 3.96% (Q4 2026), 5.51% (Q3 2026) and 6.47% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 26.67% |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 5.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.82% |
| Mar 31, 2026 | 3.96% |
| Dec 31, 2025 | 5.51% |
| Sep 30, 2025 | 6.47% |
| Jun 30, 2025 | 8.95% |
| Mar 31, 2025 | 9.30% |
| Dec 31, 2024 | 4.70% |
| Sep 30, 2024 | 7.91% |
| Jun 30, 2024 | 6.45% |
| Mar 31, 2024 | 3.11% |
| Dec 31, 2023 | 2.08% |
| Sep 30, 2023 | 1.78% |
| Jun 30, 2023 | 7.74% |
| Mar 31, 2023 | -0.82% |
| Dec 31, 2022 | 1.68% |
| Sep 30, 2022 | -0.14% |
| Jun 30, 2022 | 2.73% |
| Mar 31, 2022 | -5.16% |
| Dec 31, 2021 | -15.92% |
| Sep 30, 2021 | -2.06% |
Graham Operating 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=operating-margin&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();