Graham (GHM) Total Current Liabilities (2011 - 2026)
Graham's Total Current Liabilities was $161.12 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 33.1% from $121.06 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Graham (GHM) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at Graham came in at $156.27 million, up 14.8% from FY2025.
- Total Current Liabilities has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 29.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $136.15 million in FY2025 (+15.2%), $118.21 million in FY2024 (+37.2%), $86.17 million in FY2023 (+45.0%) and $59.42 million in FY2022 (+36.4%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2011.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 20.0% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2022 (growth of 54.1%); the worst was fiscal Q1 2026 (a decline of 4.1%).
- Per Business Quant data, GHM's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $156.27 million (Q4 2026), $154.67 million (Q3 2026) and $151.94 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Graham | 1.02 Bn | 946.23 Mn | 17.80 Mn | 161.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.12 Mn |
| Mar 31, 2026 | 156.27 Mn |
| Dec 31, 2025 | 154.67 Mn |
| Sep 30, 2025 | 151.94 Mn |
| Jun 30, 2025 | 121.06 Mn |
| Mar 31, 2025 | 136.15 Mn |
| Dec 31, 2024 | 140.93 Mn |
| Sep 30, 2024 | 127.81 Mn |
| Jun 30, 2024 | 126.19 Mn |
| Mar 31, 2024 | 118.21 Mn |
| Dec 31, 2023 | 103.59 Mn |
| Sep 30, 2023 | 93.84 Mn |
| Jun 30, 2023 | 90.34 Mn |
| Mar 31, 2023 | 86.17 Mn |
| Dec 31, 2022 | 85.91 Mn |
| Sep 30, 2022 | 66.26 Mn |
| Jun 30, 2022 | 60.82 Mn |
| Mar 31, 2022 | 59.42 Mn |
| Dec 31, 2021 | 68.57 Mn |
| Sep 30, 2021 | 58.90 Mn |
API Access
Graham Total 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=total-current-liabilities&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();