Argan (AGX) Total Liabilities (2011 - 2026)
Argan's Total Liabilities was $894.13 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 82.7% from $489.53 million a year earlier and up 10.0% from the prior quarter.
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Analysis
Argan (AGX) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Argan came in at $724.09 million, up 49.5% from FY2025.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 20.9% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $484.37 million in FY2025 (+57.6%), $307.29 million in FY2024 (+47.3%), $208.59 million in FY2023 (-8.5%) and $227.99 million in FY2022 (-18.6%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Compared with a year earlier, Total Liabilities has increased for 14 straight quarters, with growth averaging 53.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2024 (growth of 100.4%); the worst was fiscal Q2 2023 (a decline of 53.1%).
- Per Business Quant data, AGX's Total Liabilities in the three fiscal quarters before Q2 2027 was $812.93 million (Q1 2027), $724.09 million (Q4 2026) and $631.16 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 18.55 Bn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | 23.00 Bn |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 6.08 Bn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 7.33 Bn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 8.48 Bn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 1.80 Bn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 1.05 Bn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | 4.12 Bn |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 9.63 Bn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 894.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 894.13 Mn |
| Apr 30, 2026 | 812.93 Mn |
| Jan 31, 2026 | 724.09 Mn |
| Oct 31, 2025 | 631.16 Mn |
| Jul 31, 2025 | 489.53 Mn |
| Apr 30, 2025 | 428.26 Mn |
| Jan 31, 2025 | 484.37 Mn |
| Oct 31, 2024 | 440.16 Mn |
| Jul 31, 2024 | 418.51 Mn |
| Apr 30, 2024 | 331.25 Mn |
| Jan 31, 2024 | 307.29 Mn |
| Oct 31, 2023 | 278.82 Mn |
| Jul 31, 2023 | 220.67 Mn |
| Apr 30, 2023 | 197.75 Mn |
| Jan 31, 2023 | 208.59 Mn |
| Oct 31, 2022 | 139.16 Mn |
| Jul 31, 2022 | 146.03 Mn |
| Apr 30, 2022 | 190.80 Mn |
| Jan 31, 2022 | 227.99 Mn |
| Oct 31, 2021 | 263.36 Mn |
API Access
Argan Total 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-liabilities&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AGX", "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-liabilities&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();