Argan (AGX) Operating Margin (2010 - 2026)
Argan's Operating Margin was 14.79% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.15 percentage points from 12.64% a year earlier but down 0.81 percentage points from the prior quarter.
Argan (AGX) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Argan's Operating Margin was 15.36% through Jul 31, 2026, up 2.61 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 14.26%, up 4.17 percentage points from FY2025.
- Operating Margin shows a five-year change of +8.39 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was 10.09% in FY2025 (+3.73 pp), 6.36% in FY2024 (-2.80 pp), 9.16% in FY2023 (+0.42 pp) and 8.74% in FY2022 (+2.87 pp).
- Quarterly Operating Margin has moved between -0.94% (fiscal Q4 2022) and 18.19% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Operating Margin has increased for eight straight quarters, with an average year-over-year change of +4.66 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q4 2023 (a gain of 8.99 percentage points); the worst was fiscal Q4 2022 (a drop of 11.06 percentage points).
- Per Business Quant data, AGX's Operating Margin in the three fiscal quarters before Q2 2027 was 15.60% (Q1 2027), 18.19% (Q4 2026) and 12.99% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 10.62% |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 5.17% |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 7.03% |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 14.37% |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | -2.12% |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 14.79% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.79% |
| Apr 30, 2026 | 15.60% |
| Jan 31, 2026 | 18.19% |
| Oct 31, 2025 | 12.99% |
| Jul 31, 2025 | 12.64% |
| Apr 30, 2025 | 12.57% |
| Jan 31, 2025 | 14.05% |
| Oct 31, 2024 | 11.80% |
| Jul 31, 2024 | 8.23% |
| Apr 30, 2024 | 4.13% |
| Jan 31, 2024 | 7.12% |
| Oct 31, 2023 | 4.80% |
| Jul 31, 2023 | 9.37% |
| Apr 30, 2023 | 3.50% |
| Jan 31, 2023 | 8.05% |
| Oct 31, 2022 | 8.09% |
| Jul 31, 2022 | 11.35% |
| Apr 30, 2022 | 9.14% |
| Jan 31, 2022 | -0.94% |
| Oct 31, 2021 | 11.69% |
Argan Operating Margin 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=operating-margin&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();