Graham (GHM) Selling, General & Administrative (2010 - 2026)
Graham's Selling, General & Administrative was $12.55 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 33.6% from $9.4 million a year earlier and up 2.5% from the prior quarter.
Graham (GHM) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graham's Selling, General & Administrative was $44.72 million through Jun 30, 2026, up 18.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $41.56 million, up 11.9% from FY2025.
- Selling, General & Administrative has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 18.9% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $37.14 million in FY2025 (+15.3%), $32.22 million in FY2024 (+39.7%), $23.06 million in FY2023 (+13.1%) and $20.39 million in FY2022 (+16.7%).
- The fiscal Q1 2027 figure marks the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2011.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 16.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2024 (growth of 59.5%); the worst was fiscal Q3 2022 (a decline of 4.2%).
- Per Business Quant data, GHM's Selling, General & Administrative in the three fiscal quarters before Q1 2027 was $12.25 million (Q4 2026), $10.13 million (Q3 2026) and $9.79 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn | 12.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.55 Mn |
| Mar 31, 2026 | 12.25 Mn |
| Dec 31, 2025 | 10.13 Mn |
| Sep 30, 2025 | 9.79 Mn |
| Jun 30, 2025 | 9.40 Mn |
| Mar 31, 2025 | 10.32 Mn |
| Dec 31, 2024 | 9.26 Mn |
| Sep 30, 2024 | 8.72 Mn |
| Jun 30, 2024 | 8.84 Mn |
| Mar 31, 2024 | 10.65 Mn |
| Dec 31, 2023 | 8.43 Mn |
| Sep 30, 2023 | 6.12 Mn |
| Jun 30, 2023 | 7.02 Mn |
| Mar 31, 2023 | 7.24 Mn |
| Dec 31, 2022 | 5.28 Mn |
| Sep 30, 2022 | 5.06 Mn |
| Jun 30, 2022 | 5.49 Mn |
| Mar 31, 2022 | 5.85 Mn |
| Dec 31, 2021 | 4.73 Mn |
| Sep 30, 2021 | 4.97 Mn |
Graham Selling, General & Administrative 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=selling-general-and-administrative&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();