Graham (GHM) Property, Plant & Equipment (Net) (2011 - 2026)
Graham's Property, Plant & Equipment (Net) came in at $60.75 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.9% from $53.34 million a year earlier and up 0.7% from the prior quarter.
Graham (GHM) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Property, Plant & Equipment (Net) was $60.33 million, up 19.1% from FY2025.
- Property, Plant & Equipment (Net) has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 27.9% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $50.65 million in FY2025 (+57.9%), $32.08 million in FY2024 (+25.7%), $25.52 million in FY2023 (+2.6%) and $24.88 million in FY2022 (+41.2%).
- The fiscal Q1 2027 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2011.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 15 consecutive quarters, with growth averaging 39.9% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q4 2025 (growth of 57.9%), and the weakest in fiscal Q1 2023 (a decline of 5.4%).
- Business Quant data shows GHM's Property, Plant & Equipment (Net) at $60.33 million (Q4 2026), $57.32 million (Q3 2026) and $56.55 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn | 60.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.75 Mn |
| Mar 31, 2026 | 60.33 Mn |
| Dec 31, 2025 | 57.32 Mn |
| Sep 30, 2025 | 56.55 Mn |
| Jun 30, 2025 | 53.34 Mn |
| Mar 31, 2025 | 50.65 Mn |
| Dec 31, 2024 | 44.13 Mn |
| Sep 30, 2024 | 36.60 Mn |
| Jun 30, 2024 | 34.00 Mn |
| Mar 31, 2024 | 32.08 Mn |
| Dec 31, 2023 | 29.03 Mn |
| Sep 30, 2023 | 27.12 Mn |
| Jun 30, 2023 | 25.91 Mn |
| Mar 31, 2023 | 25.52 Mn |
| Dec 31, 2022 | 25.25 Mn |
| Sep 30, 2022 | 24.35 Mn |
| Jun 30, 2022 | 24.23 Mn |
| Mar 31, 2022 | 24.88 Mn |
| Dec 31, 2021 | 25.22 Mn |
| Sep 30, 2021 | 25.34 Mn |
Graham Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();