Graham (GHM) Gross Margin (2010 - 2026)
Graham (GHM) posted Gross Margin of 24.95% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 1.58 percentage points from 26.53% a year earlier but up 2.21 percentage points from the prior quarter.
Graham (GHM) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Graham was 23.29%, down 2.34 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 23.54%, down 1.64 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of +2.55 percentage points (FY2021 to FY2026).
- In prior fiscal years, Graham's Gross Margin was 25.18% in FY2025 (+3.31 pp), 21.87% in FY2024 (+5.70 pp), 16.17% in FY2023 (+8.74 pp) and 7.43% in FY2022 (-13.56 pp).
- Quarterly Gross Margin has run from a low of 1.95% in fiscal Q3 2022 to a high of 26.97% in fiscal Q4 2025 over five years.
- On a year-over-year basis, Gross Margin has declined in each of the last four quarters, with an average year-over-year change of +0.54 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q1 2023, with a gain of 14.16 percentage points; the weakest was fiscal Q3 2022, with a drop of 20.98 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 22.74% (Q4 2026), 23.75% (Q3 2026) and 21.67% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 297.54 Bn | 297.54 Bn | - | - |
| 2 | Amphenol | 202.04 Bn | 195.70 Bn | 4.02 Bn | - |
| 3 | Deere | 177.95 Bn | 186.72 Bn | 4.66 Bn | 36.94% |
| 4 | Eaton | 152.89 Bn | 150.12 Bn | 2.86 Bn | 33.47% |
| 5 | Parker-Hannifin | 117.06 Bn | 115.19 Bn | 2.25 Bn | 39.04% |
| 6 | Emerson Electric | 95.25 Bn | 88.00 Bn | 2.66 Bn | 54.48% |
| 7 | Vertiv Holdings | 94.70 Bn | 83.55 Bn | 1.64 Bn | 38.11% |
| 8 | 3M | 91.66 Bn | 74.07 Bn | 2.78 Bn | 42.27% |
| 9 | Illinois Tool Works | 79.98 Bn | 76.66 Bn | 1.91 Bn | 45.09% |
| 10 | Graham | 840.59 Mn | 764.23 Mn | 17.80 Mn | 24.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.95% |
| Mar 31, 2026 | 22.74% |
| Dec 31, 2025 | 23.75% |
| Sep 30, 2025 | 21.67% |
| Jun 30, 2025 | 26.53% |
| Mar 31, 2025 | 26.97% |
| Dec 31, 2024 | 24.84% |
| Sep 30, 2024 | 23.90% |
| Jun 30, 2024 | 24.76% |
| Mar 31, 2024 | 25.87% |
| Dec 31, 2023 | 22.19% |
| Sep 30, 2023 | 15.95% |
| Jun 30, 2023 | 23.08% |
| Mar 31, 2023 | 16.63% |
| Dec 31, 2022 | 15.62% |
| Sep 30, 2022 | 13.84% |
| Jun 30, 2022 | 18.69% |
| Mar 31, 2022 | 10.60% |
| Dec 31, 2021 | 1.95% |
| Sep 30, 2021 | 10.08% |
Graham Gross 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=gross-margin&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();