Graham (GHM) Operating Leases (2019 - 2026)
Graham (GHM) recorded Operating Leases of $4.95 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 5.5% from $5.24 million a year earlier and down 7.3% from the prior quarter.
Graham (GHM) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham reported Operating Leases of $5.34 million, down 3.1% from FY2025.
- Annual Operating Leases has declined for three straight fiscal years, though with a five-year compound annual growth rate of 170.3% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $5.51 million in FY2025 (-14.5%), $6.45 million in FY2024 (-14.0%), $7.5 million in FY2023 (+0.5%) and $7.46 million in FY2022.
- Quarterly Operating Leases has ranged from $4.54 million in fiscal Q3 2026 to $7.96 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Operating Leases has declined for 13 consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 0.7% in fiscal Q3 2023, against a decline of 19.3% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.34 million (Q4 2026), $4.54 million (Q3 2026) and $4.89 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.95 Mn |
| Mar 31, 2026 | 5.34 Mn |
| Dec 31, 2025 | 4.54 Mn |
| Sep 30, 2025 | 4.89 Mn |
| Jun 30, 2025 | 5.24 Mn |
| Mar 31, 2025 | 5.51 Mn |
| Dec 31, 2024 | 5.63 Mn |
| Sep 30, 2024 | 5.92 Mn |
| Jun 30, 2024 | 6.16 Mn |
| Mar 31, 2024 | 6.45 Mn |
| Dec 31, 2023 | 6.76 Mn |
| Sep 30, 2023 | 6.99 Mn |
| Jun 30, 2023 | 7.28 Mn |
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2022 | 7.76 Mn |
| Sep 30, 2022 | 7.10 Mn |
| Jun 30, 2022 | 7.34 Mn |
| Mar 31, 2022 | 7.46 Mn |
| Dec 31, 2021 | 7.70 Mn |
| Sep 30, 2021 | 7.96 Mn |
Graham Operating Leases 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=operating-leases&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();