Graham (GHM) Cost of Revenue (2010 - 2026)
Graham (GHM) recorded Cost of Revenue of $53.54 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 31.3% from $40.77 million a year earlier and up 3.3% from the prior quarter.
Graham (GHM) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Graham's Cost of Revenue came in at $200.32 million as of Jun 30, 2026, up 25.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $187.54 million, up 19.4% from FY2025.
- Annual Cost of Revenue has increased for eight straight fiscal years, with a five-year compound annual growth rate of 19.5% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $157.04 million in FY2025 (+8.3%), $144.95 million in FY2024 (+10.1%), $131.71 million in FY2023 (+15.9%) and $113.69 million in FY2022 (+47.6%).
- The fiscal Q1 2027 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- On a year-over-year basis, Cost of Revenue has increased for 22 consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 1.0% in fiscal Q4 2023 to 71.7% in fiscal Q4 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $51.82 million (Q4 2026), $43.23 million (Q3 2026) and $51.72 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn | 53.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.54 Mn |
| Mar 31, 2026 | 51.82 Mn |
| Dec 31, 2025 | 43.23 Mn |
| Sep 30, 2025 | 51.72 Mn |
| Jun 30, 2025 | 40.77 Mn |
| Mar 31, 2025 | 43.34 Mn |
| Dec 31, 2024 | 35.35 Mn |
| Sep 30, 2024 | 40.76 Mn |
| Jun 30, 2024 | 37.58 Mn |
| Mar 31, 2024 | 36.38 Mn |
| Dec 31, 2023 | 34.10 Mn |
| Sep 30, 2023 | 37.89 Mn |
| Jun 30, 2023 | 36.59 Mn |
| Mar 31, 2023 | 35.87 Mn |
| Dec 31, 2022 | 33.65 Mn |
| Sep 30, 2022 | 32.86 Mn |
| Jun 30, 2022 | 29.33 Mn |
| Mar 31, 2022 | 35.53 Mn |
| Dec 31, 2021 | 28.21 Mn |
| Sep 30, 2021 | 30.70 Mn |
Graham Cost of 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=cost-of-revenue&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();