Graham (GHM) Inventory (2011 - 2026)
Graham (GHM) posted Inventory of $49.44 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 32.2% from $37.39 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Graham (GHM) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Inventory came in at $50.76 million, up 26.8% from FY2025.
- Annual Inventory has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 24.0% (FY2021 to FY2026).
- In prior fiscal years, Graham's Inventory was $40.03 million in FY2025 (+19.8%), $33.41 million in FY2024 (+27.1%), $26.29 million in FY2023 (+51.0%) and $17.41 million in FY2022 (+0.5%).
- Quarterly Inventory has run from a low of $17.41 million in fiscal Q4 2022 to a high of $50.76 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last 16 quarters, with growth averaging 24.3% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q4 2023, with growth of 51.0%; the weakest was fiscal Q2 2022, with a decline of 14.0%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $50.76 million (Q4 2026), $48.52 million (Q3 2026) and $42.43 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 49.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.44 Mn |
| Mar 31, 2026 | 50.76 Mn |
| Dec 31, 2025 | 48.52 Mn |
| Sep 30, 2025 | 42.43 Mn |
| Jun 30, 2025 | 37.39 Mn |
| Mar 31, 2025 | 40.03 Mn |
| Dec 31, 2024 | 39.03 Mn |
| Sep 30, 2024 | 31.54 Mn |
| Jun 30, 2024 | 32.76 Mn |
| Mar 31, 2024 | 33.41 Mn |
| Dec 31, 2023 | 31.08 Mn |
| Sep 30, 2023 | 27.01 Mn |
| Jun 30, 2023 | 25.49 Mn |
| Mar 31, 2023 | 26.29 Mn |
| Dec 31, 2022 | 24.08 Mn |
| Sep 30, 2022 | 19.85 Mn |
| Jun 30, 2022 | 18.26 Mn |
| Mar 31, 2022 | 17.41 Mn |
| Dec 31, 2021 | 20.43 Mn |
| Sep 30, 2021 | 17.72 Mn |
API Access
Graham Inventory 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=inventory&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();