Argan (AGX) EBITDA (2010 - 2026)
Argan (AGX) recorded EBITDA of $57.45 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 88.1% from $30.55 million a year earlier and up 25.0% from the prior quarter.
Powered by 
Analysis
Argan (AGX) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Argan's EBITDA came in at $184.71 million as of Jul 31, 2026, up 54.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $136.61 million, up 51.6% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 37.6% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $90.1 million in FY2025 (+131.8%), $38.87 million in FY2024 (-14.4%), $45.4 million in FY2023 (-7.0%) and $48.81 million in FY2022 (+76.6%).
- The fiscal Q2 2027 figure is the highest quarterly EBITDA in data going back to fiscal Q3 2011.
- On a year-over-year basis, EBITDA has increased for 11 consecutive quarters, with growth averaging 121.1% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 265.4% in fiscal Q3 2025, against a decline of 57.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $45.95 million (Q1 2027), $48.17 million (Q4 2026) and $33.14 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 349.82 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 343.89 Mn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 244.24 Mn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 195.50 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 57.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 57.45 Mn |
| Apr 30, 2026 | 45.95 Mn |
| Jan 31, 2026 | 48.17 Mn |
| Oct 31, 2025 | 33.14 Mn |
| Jul 31, 2025 | 30.55 Mn |
| Apr 30, 2025 | 24.76 Mn |
| Jan 31, 2025 | 33.20 Mn |
| Oct 31, 2024 | 30.86 Mn |
| Jul 31, 2024 | 19.24 Mn |
| Apr 30, 2024 | 7.10 Mn |
| Jan 31, 2024 | 12.32 Mn |
| Oct 31, 2023 | 8.45 Mn |
| Jul 31, 2023 | 13.83 Mn |
| Apr 30, 2023 | 4.28 Mn |
| Jan 31, 2023 | 10.39 Mn |
| Oct 31, 2022 | 10.49 Mn |
| Jul 31, 2022 | 14.38 Mn |
| Apr 30, 2022 | 10.14 Mn |
| Jan 31, 2022 | -118,000.00 |
| Oct 31, 2021 | 15.59 Mn |
API Access
Argan EBITDA 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=ebitda&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();