Graham (GHM) Other Non-Current Assets (2011 - 2026)
Graham (GHM) recorded Other Non-Current Assets of $3.26 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 26.2% from $2.58 million a year earlier and up 2.3% from the prior quarter.
Graham (GHM) Other Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham reported Other Non-Current Assets of $3.19 million, up 32.6% from FY2025.
- Annual Other Non-Current Assets has increased for three straight fiscal years, with a five-year compound annual growth rate of 98.7% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Assets came in at $2.4 million in FY2025 (+232.0%), $724,000 in FY2024 (+358.2%), $158,000 in FY2023 (-18.6%) and $194,000 in FY2022 (+88.3%).
- The fiscal Q1 2027 figure is the highest quarterly Other Non-Current Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Other Non-Current Assets has increased for 12 consecutive quarters, with growth averaging 195.5% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Assets in the last five years was growth of 700.0% in fiscal Q1 2025, against a decline of 19.0% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.19 million (Q4 2026), $2.97 million (Q3 2026) and $2.82 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 6.52 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.21 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 3.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 2.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.54 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 90.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.88 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 6.51 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.54 Bn |
| 10 | Graham | 1.01 Bn | 934.15 Mn | 17.80 Mn | 3.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.26 Mn |
| Mar 31, 2026 | 3.19 Mn |
| Dec 31, 2025 | 2.97 Mn |
| Sep 30, 2025 | 2.82 Mn |
| Jun 30, 2025 | 2.58 Mn |
| Mar 31, 2025 | 2.40 Mn |
| Dec 31, 2024 | 2.07 Mn |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 724,000.00 |
| Dec 31, 2023 | 368,000.00 |
| Sep 30, 2023 | 239,000.00 |
| Jun 30, 2023 | 149,000.00 |
| Mar 31, 2023 | 158,000.00 |
| Dec 31, 2022 | 167,000.00 |
| Sep 30, 2022 | 175,000.00 |
| Jun 30, 2022 | 184,000.00 |
| Mar 31, 2022 | 194,000.00 |
| Dec 31, 2021 | 202,000.00 |
| Sep 30, 2021 | 211,000.00 |
Graham Other Non-Current Assets 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=other-non-current-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();