Argan (AGX) Change in Accured Expenses (2010 - 2026)
Argan (AGX) recorded Change in Accured Expenses of $23.55 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 14.7% from $27.6 million a year earlier but up 34.6% from the prior quarter.
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Analysis
Argan (AGX) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Argan's Change in Accured Expenses came in at $81.71 million as of Jul 31, 2026, up 497.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $28.64 million, down 56.8% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $66.23 million in FY2025 (+346.6%), $14.83 million in FY2024 (+63.3%), $9.08 million in FY2023 and -$5.74 million in FY2022.
- Quarterly Change in Accured Expenses has ranged from -$39.62 million in fiscal Q1 2026 to $33.04 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last six quarters, with growth averaging 91.5%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 362.4% in fiscal Q4 2025, against a decline of 83.1% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $17.5 million (Q1 2027), $28.78 million (Q4 2026) and $11.88 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 762.98 Mn |
| 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 | 143.25 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | -74.92 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 | 72.13 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 34.76 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 23.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.55 Mn |
| Apr 30, 2026 | 17.50 Mn |
| Jan 31, 2026 | 28.78 Mn |
| Oct 31, 2025 | 11.88 Mn |
| Jul 31, 2025 | 27.60 Mn |
| Apr 30, 2025 | -39.62 Mn |
| Jan 31, 2025 | 22.52 Mn |
| Oct 31, 2024 | 3.19 Mn |
| Jul 31, 2024 | 33.04 Mn |
| Apr 30, 2024 | 7.48 Mn |
| Jan 31, 2024 | 4.87 Mn |
| Oct 31, 2023 | 18.89 Mn |
| Jul 31, 2023 | 18.01 Mn |
| Apr 30, 2023 | -26.94 Mn |
| Jan 31, 2023 | 17.04 Mn |
| Oct 31, 2022 | 8.17 Mn |
| Jul 31, 2022 | -895,000.00 |
| Apr 30, 2022 | -15.23 Mn |
| Jan 31, 2022 | 14.22 Mn |
| Oct 31, 2021 | -11.17 Mn |
API Access
Argan Change in Accured 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=change-in-accured-expenses&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();