Graham (GHM) Return on Sales [ROS] (2010 - 2026)
Graham (GHM) recorded Return on Sales [ROS] of 5.82% in 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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Graham's Return on Sales [ROS] came in at 5.44% as of Jun 30, 2026, down 2.42 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 6.12%, down 1.11 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +3.05 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 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 Return on Sales [ROS] has ranged from -15.92% in fiscal Q3 2022 to 9.30% in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +1.04 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 22.62 percentage points in fiscal Q1 2023, against a drop of 20.68 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 3.96% (Q4 2026), 5.51% (Q3 2026) and 6.47% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Graham | 904.91 Mn | 828.55 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();