Graham (GHM) Non-Current Assets (2011 - 2026)
Graham (GHM) posted Non-Current Assets of $165.58 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 32.7% from $124.82 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Graham (GHM) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Non-Current Assets came in at $167.16 million, up 36.2% from FY2025.
- Annual Non-Current Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 47.4% (FY2021 to FY2026).
- In prior fiscal years, Graham's Non-Current Assets was $122.74 million in FY2025 (+14.1%), $107.55 million in FY2024 (+14.6%), $93.85 million in FY2023 (-2.7%) and $96.47 million in FY2022 (+301.4%).
- Quarterly Non-Current Assets has run from a low of $92.68 million in fiscal Q1 2024 to a high of $167.16 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 11 quarters, with growth averaging 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q2 2022, with growth of 348.7%; the weakest was fiscal Q4 2023, with a decline of 2.7%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $167.16 million (Q4 2026), $129.11 million (Q3 2026) and $127.54 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 165.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.58 Mn |
| Mar 31, 2026 | 167.16 Mn |
| Dec 31, 2025 | 129.11 Mn |
| Sep 30, 2025 | 127.54 Mn |
| Jun 30, 2025 | 124.82 Mn |
| Mar 31, 2025 | 122.74 Mn |
| Dec 31, 2024 | 118.54 Mn |
| Sep 30, 2024 | 111.33 Mn |
| Jun 30, 2024 | 108.98 Mn |
| Mar 31, 2024 | 107.55 Mn |
| Dec 31, 2023 | 103.38 Mn |
| Sep 30, 2023 | 93.01 Mn |
| Jun 30, 2023 | 92.68 Mn |
| Mar 31, 2023 | 93.85 Mn |
| Dec 31, 2022 | 95.35 Mn |
| Sep 30, 2022 | 94.35 Mn |
| Jun 30, 2022 | 94.89 Mn |
| Mar 31, 2022 | 96.47 Mn |
| Dec 31, 2021 | 95.51 Mn |
| Sep 30, 2021 | 96.40 Mn |
API Access
Graham 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=non-current-assets&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();