Argan (AGX) Non-Current Assets (2011 - 2026)
Argan's Non-Current Assets was $82.5 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 53.0% from $53.92 million a year earlier and up 17.3% from the prior quarter.
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Analysis
Argan (AGX) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Non-Current Assets at Argan came in at $54.1 million, down 1.5% from FY2025.
- Non-Current Assets shows a five-year compound annual growth rate of -0.8% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $54.93 million in FY2025 (+7.6%), $51.05 million in FY2024 (+0.5%), $50.79 million in FY2023 (+9.7%) and $46.3 million in FY2022 (-17.9%).
- The fiscal Q2 2027 figure marks the highest quarterly Non-Current Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Non-Current Assets was higher in seven of the last eight quarters, with growth averaging 13.7%.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q2 2027 (growth of 53.0%); the worst was fiscal Q1 2023 (a decline of 23.3%).
- Per Business Quant data, AGX's Non-Current Assets in the three fiscal quarters before Q2 2027 was $70.33 million (Q1 2027), $54.1 million (Q4 2026) and $53.7 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 16.43 Bn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | 23.41 Bn |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 3.49 Bn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 5.99 Bn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 6.65 Bn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 1.77 Bn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 741.12 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | 3.22 Bn |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 666.70 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 82.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 82.50 Mn |
| Apr 30, 2026 | 70.33 Mn |
| Jan 31, 2026 | 54.10 Mn |
| Oct 31, 2025 | 53.70 Mn |
| Jul 31, 2025 | 53.92 Mn |
| Apr 30, 2025 | 54.08 Mn |
| Jan 31, 2025 | 54.93 Mn |
| Oct 31, 2024 | 51.72 Mn |
| Jul 31, 2024 | 51.62 Mn |
| Apr 30, 2024 | 50.08 Mn |
| Jan 31, 2024 | 51.05 Mn |
| Oct 31, 2023 | 49.58 Mn |
| Jul 31, 2023 | 50.58 Mn |
| Apr 30, 2023 | 50.69 Mn |
| Jan 31, 2023 | 50.79 Mn |
| Oct 31, 2022 | 45.94 Mn |
| Jul 31, 2022 | 44.88 Mn |
| Apr 30, 2022 | 45.22 Mn |
| Jan 31, 2022 | 46.30 Mn |
| Oct 31, 2021 | 53.43 Mn |
API Access
Argan Non-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=non-current-assets&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();