Graham (GHM) Profit After Tax (2010 - 2026)
Graham (GHM) posted Profit After Tax of $3.91 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 14.9% from $4.6 million a year earlier but up 98.6% from the prior quarter.
Graham (GHM) Profit After Tax (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Profit After Tax at Graham was $11.82 million, down 14.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $12.5 million, up 2.2% from FY2025.
- Annual Profit After Tax shows a five-year compound annual growth rate of 39.4% (FY2021 to FY2026).
- In prior fiscal years, Graham's Profit After Tax was $12.23 million in FY2025 (+168.4%), $4.56 million in FY2024, $367,000 in FY2023 and -$8.77 million in FY2022.
- Quarterly Profit After Tax has run from a low of -$3.73 million in fiscal Q3 2022 to a high of $4.6 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Profit After Tax increased in five of the last eight quarters, with growth averaging 230.9%.
- The strongest year-over-year quarter for Profit After Tax in the past five years was fiscal Q3 2025, with growth of 862.4%; the weakest was fiscal Q4 2026, with a decline of 55.2%.
- According to Business Quant data, Profit After Tax for the three prior fiscal quarters was $1.97 million (Q4 2026), $2.85 million (Q3 2026) and $3.09 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 3.50 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 1.78 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 1.35 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 823.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 1.09 Bn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 497.80 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 718.00 Mn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 937.00 Mn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 815.00 Mn |
| 10 | Graham | 1.02 Bn | 943.88 Mn | 17.80 Mn | 3.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.91 Mn |
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 2.85 Mn |
| Sep 30, 2025 | 3.09 Mn |
| Jun 30, 2025 | 4.60 Mn |
| Mar 31, 2025 | 4.40 Mn |
| Dec 31, 2024 | 1.59 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 2.97 Mn |
| Mar 31, 2024 | 1.34 Mn |
| Dec 31, 2023 | 165,000.00 |
| Sep 30, 2023 | 411,000.00 |
| Jun 30, 2023 | 2.64 Mn |
| Mar 31, 2023 | -481,000.00 |
| Dec 31, 2022 | 368,000.00 |
| Sep 30, 2022 | -196,000.00 |
| Jun 30, 2022 | 676,000.00 |
| Mar 31, 2022 | -1.43 Mn |
| Dec 31, 2021 | -3.73 Mn |
| Sep 30, 2021 | -492,000.00 |
Graham Profit After Tax 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=profit-after-tax&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();