Argan (AGX) Tax Provisions (2010 - 2026)
Argan (AGX) recorded Tax Provisions of $13.59 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $361,000 a year earlier and up 76.3% from the prior quarter.
Argan (AGX) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Argan's Tax Provisions came in at $36.43 million as of Jul 31, 2026, up 52.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $22.74 million, down 11.7% from FY2025.
- Annual Tax Provisions has a five-year compound annual growth rate of 84.1% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $25.75 million in FY2025 (+55.3%), $16.58 million in FY2024 (+46.7%), $11.3 million in FY2023 (-0.5%) and $11.36 million in FY2022 (+957.4%).
- The fiscal Q2 2027 figure is the highest quarterly Tax Provisions since fiscal Q2 2018.
- On a year-over-year basis, Tax Provisions rose in four of the last seven quarters, with growth averaging 14.4%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 283.4% in fiscal Q1 2025, against a decline of 94.8% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.71 million (Q1 2027), $6.18 million (Q4 2026) and $8.96 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 157.58 Mn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 147.97 Mn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 48.00 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 104.64 Mn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 51.32 Mn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 51.29 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | -26.57 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 13.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.59 Mn |
| Apr 30, 2026 | 7.71 Mn |
| Jan 31, 2026 | 6.18 Mn |
| Oct 31, 2025 | 8.96 Mn |
| Jul 31, 2025 | 361,000.00 |
| Apr 30, 2025 | 7.24 Mn |
| Jan 31, 2025 | 7.26 Mn |
| Oct 31, 2024 | 8.97 Mn |
| Jul 31, 2024 | 6.08 Mn |
| Apr 30, 2024 | 3.43 Mn |
| Jan 31, 2024 | 4.96 Mn |
| Oct 31, 2023 | 6.13 Mn |
| Jul 31, 2023 | 4.59 Mn |
| Apr 30, 2023 | 895,000.00 |
| Jan 31, 2023 | -3.21 Mn |
| Oct 31, 2022 | 2.55 Mn |
| Jul 31, 2022 | 9.69 Mn |
| Apr 30, 2022 | 2.27 Mn |
| Jan 31, 2022 | 128,000.00 |
| Oct 31, 2021 | 3.27 Mn |
Argan Tax Provisions 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=tax-provisions&ticker=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();