Graham (GHM) Current Assets (2011 - 2026)
Graham's Current Assets came in at $198.38 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 55.6% from $127.52 million a year earlier and up 26.8% from the prior quarter.
Graham (GHM) Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Current Assets was $156.45 million, up 10.7% from FY2025.
- Current Assets has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- Going back by fiscal year, Current Assets was $141.37 million in FY2025 (+11.9%), $126.33 million in FY2024 (+14.8%), $110.07 million in FY2023 (+26.2%) and $87.22 million in FY2022 (-27.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Current Assets in data going back to fiscal Q4 2011.
- Year-over-year, Current Assets has increased for four consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in fiscal Q1 2027 (growth of 55.6%), and the weakest in fiscal Q4 2022 (a decline of 27.5%).
- Business Quant data shows GHM's Current Assets at $156.45 million (Q4 2026), $163.81 million (Q3 2026) and $159.45 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 54.45 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 17.82 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 14.77 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 7.70 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 9.98 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 9.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 14.11 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 6.60 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 198.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.38 Mn |
| Mar 31, 2026 | 156.45 Mn |
| Dec 31, 2025 | 163.81 Mn |
| Sep 30, 2025 | 159.45 Mn |
| Jun 30, 2025 | 127.52 Mn |
| Mar 31, 2025 | 141.37 Mn |
| Dec 31, 2024 | 145.71 Mn |
| Sep 30, 2024 | 138.21 Mn |
| Jun 30, 2024 | 135.19 Mn |
| Mar 31, 2024 | 126.33 Mn |
| Dec 31, 2023 | 115.33 Mn |
| Sep 30, 2023 | 120.12 Mn |
| Jun 30, 2023 | 117.35 Mn |
| Mar 31, 2023 | 110.07 Mn |
| Dec 31, 2022 | 112.31 Mn |
| Sep 30, 2022 | 94.55 Mn |
| Jun 30, 2022 | 89.33 Mn |
| Mar 31, 2022 | 87.22 Mn |
| Dec 31, 2021 | 100.57 Mn |
| Sep 30, 2021 | 95.44 Mn |
Graham 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=current-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();