Argan (AGX) Total Current Liabilities (2011 - 2026)
Argan's Total Current Liabilities was $878.11 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 81.3% from $484.32 million a year earlier and up 10.5% from the prior quarter.
Argan (AGX) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Current Liabilities at Argan came in at $711.26 million, up 48.2% from FY2025.
- Total Current Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 20.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $479.86 million in FY2025 (+58.8%), $302.26 million in FY2024 (+49.3%), $202.5 million in FY2023 (-9.2%) and $223.03 million in FY2022 (-19.2%).
- The fiscal Q2 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 14 straight quarters, with growth averaging 52.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2024 (growth of 103.6%); the worst was fiscal Q2 2023 (a decline of 53.8%).
- Per Business Quant data, AGX's Total Current Liabilities in the three fiscal quarters before Q2 2027 was $794.69 million (Q1 2027), $711.26 million (Q4 2026) and $619.86 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 10.80 Bn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | 7.52 Bn |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 5.23 Bn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 3.53 Bn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 3.95 Bn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 1.29 Bn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 941.73 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | 1.01 Bn |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 6.01 Bn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 878.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 878.11 Mn |
| Apr 30, 2026 | 794.69 Mn |
| Jan 31, 2026 | 711.26 Mn |
| Oct 31, 2025 | 619.86 Mn |
| Jul 31, 2025 | 484.32 Mn |
| Apr 30, 2025 | 422.95 Mn |
| Jan 31, 2025 | 479.86 Mn |
| Oct 31, 2024 | 436.16 Mn |
| Jul 31, 2024 | 415.13 Mn |
| Apr 30, 2024 | 327.60 Mn |
| Jan 31, 2024 | 302.26 Mn |
| Oct 31, 2023 | 273.89 Mn |
| Jul 31, 2023 | 215.61 Mn |
| Apr 30, 2023 | 192.40 Mn |
| Jan 31, 2023 | 202.50 Mn |
| Oct 31, 2022 | 134.54 Mn |
| Jul 31, 2022 | 142.01 Mn |
| Apr 30, 2022 | 186.27 Mn |
| Jan 31, 2022 | 223.03 Mn |
| Oct 31, 2021 | 259.05 Mn |
Argan 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=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();