Graham (GHM) Depreciation and Depletion (2010 - 2026)
Graham's Depreciation and Depletion was $1.67 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 63.1% from $1.02 million a year earlier and up 0.2% from the prior quarter.
Graham (GHM) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graham's Depreciation and Depletion was $5.98 million through Jun 30, 2026, up 54.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $5.34 million, up 43.5% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 22.4% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $3.72 million in FY2025 (+13.5%), $3.28 million in FY2024 (-6.7%), $3.51 million in FY2023 (+14.1%) and $3.08 million in FY2022 (+58.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2011.
- Compared with a year earlier, Depreciation and Depletion has increased for nine straight quarters, with growth averaging 34.8% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2022 (growth of 73.5%); the worst was fiscal Q2 2024 (a decline of 12.9%).
- Per Business Quant data, GHM's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $1.67 million (Q4 2026), $1.5 million (Q3 2026) and $1.15 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn | 1.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 Mn |
| Mar 31, 2026 | 1.67 Mn |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 1.01 Mn |
| Dec 31, 2024 | 991,000.00 |
| Sep 30, 2024 | 864,000.00 |
| Jun 30, 2024 | 857,000.00 |
| Mar 31, 2024 | 900,000.00 |
| Dec 31, 2023 | 826,000.00 |
| Sep 30, 2023 | 756,000.00 |
| Jun 30, 2023 | 793,000.00 |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | 887,000.00 |
| Sep 30, 2022 | 868,000.00 |
| Jun 30, 2022 | 856,000.00 |
| Mar 31, 2022 | 845,000.00 |
| Dec 31, 2021 | 833,000.00 |
| Sep 30, 2021 | 804,000.00 |
Graham Depreciation and Depletion 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=depreciation-and-depletion&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();