Graham (GHM) Other Non-Current Liabilities (2011 - 2026)
Graham (GHM) posted Other Non-Current Liabilities of $3.43 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 162.4% from $1.31 million a year earlier but down 48.2% from the prior quarter.
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Analysis
Graham (GHM) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Other Non-Current Liabilities came in at $6.63 million, up 311.7% from FY2025.
- Annual Other Non-Current Liabilities shows a four-year compound annual growth rate of 31.8% (FY2022 to FY2026).
- In prior fiscal years, Graham's Other Non-Current Liabilities was $1.61 million in FY2025 (-31.0%), $2.33 million in FY2024 (+8.5%), $2.15 million in FY2023 (-2.1%) and $2.2 million in FY2022.
- Quarterly Other Non-Current Liabilities has run from a low of $1.11 million in fiscal Q3 2026 to a high of $6.63 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in three of the last eight quarters, with growth averaging 43.7%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q4 2026, with growth of 311.7%; the weakest was fiscal Q2 2024, with a decline of 46.5%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $6.63 million (Q4 2026), $1.11 million (Q3 2026) and $1.18 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Graham | 1.01 Bn | 934.15 Mn | 17.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.43 Mn |
| Mar 31, 2026 | 6.63 Mn |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.61 Mn |
| Dec 31, 2024 | 1.96 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 2.31 Mn |
| Mar 31, 2024 | 2.33 Mn |
| Dec 31, 2023 | 3.13 Mn |
| Sep 30, 2023 | 1.17 Mn |
| Jun 30, 2023 | 1.97 Mn |
| Mar 31, 2023 | 2.15 Mn |
| Dec 31, 2022 | 2.12 Mn |
| Sep 30, 2022 | 2.19 Mn |
| Jun 30, 2022 | 2.26 Mn |
| Mar 31, 2022 | 2.20 Mn |
| Dec 31, 2021 | 2.32 Mn |
| Sep 30, 2021 | 2.20 Mn |
API Access
Graham Other Non-Current Liabilities 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-liabilities&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();