Argan (AGX) Accumulated Expenses (2011 - 2026)
Argan's Accumulated Expenses was $135.88 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 90.2% from $71.45 million a year earlier and up 29.3% from the prior quarter.
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Analysis
Argan (AGX) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Argan came in at $89.75 million, up 7.7% from FY2025.
- Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $83.32 million in FY2025 (+2.0%), $81.72 million in FY2024 (+63.9%), $49.87 million in FY2023 (-6.5%) and $53.32 million in FY2022 (+5.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 20.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2024 (growth of 106.7%); the worst was fiscal Q2 2023 (a decline of 19.3%).
- Per Business Quant data, AGX's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $105.07 million (Q1 2027), $89.75 million (Q4 2026) and $67.14 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 135.88 Mn |
| Apr 30, 2026 | 105.07 Mn |
| Jan 31, 2026 | 89.75 Mn |
| Oct 31, 2025 | 67.14 Mn |
| Jul 31, 2025 | 71.45 Mn |
| Apr 30, 2025 | 69.89 Mn |
| Jan 31, 2025 | 83.32 Mn |
| Oct 31, 2024 | 78.39 Mn |
| Jul 31, 2024 | 61.70 Mn |
| Apr 30, 2024 | 60.72 Mn |
| Jan 31, 2024 | 81.72 Mn |
| Oct 31, 2023 | 83.19 Mn |
| Jul 31, 2023 | 67.62 Mn |
| Apr 30, 2023 | 44.76 Mn |
| Jan 31, 2023 | 49.87 Mn |
| Oct 31, 2022 | 40.24 Mn |
| Jul 31, 2022 | 39.82 Mn |
| Apr 30, 2022 | 39.37 Mn |
| Jan 31, 2022 | 53.32 Mn |
| Oct 31, 2021 | 42.67 Mn |
API Access
Argan Accumulated Expenses 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=accumulated-expenses&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();