Argan (AGX) Return on Capital Employed [ROCE] (2011 - 2026)
Argan's Return on Capital Employed [ROCE] was 39.20% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.95 percentage points from 33.25% a year earlier and up 3.94 percentage points from the prior quarter.
Argan (AGX) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Return on Capital Employed [ROCE] at Argan came in at 44.90%, up 7.74 percentage points from FY2025.
- Return on Capital Employed [ROCE] has now increased for six consecutive fiscal years, with a five-year change of +36.34 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 37.15% in FY2025 (+22.06 pp), 15.09% in FY2024 (+2.03 pp), 13.06% in FY2023 (+0.53 pp) and 12.54% in FY2022 (+3.98 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2018.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for ten straight quarters, with an average year-over-year change of +10.59 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q2 2026 (a gain of 16.05 percentage points); the worst was fiscal Q2 2023 (a drop of 5.10 percentage points).
- Per Business Quant data, AGX's Return on Capital Employed [ROCE] in the three fiscal quarters before Q2 2027 was 35.26% (Q1 2027), 33.07% (Q4 2026) and 34.50% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 12.55% |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 41.90% |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 12.51% |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 8.23% |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 35.48% |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 41.31% |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 10.51% |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 39.20% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 39.20% |
| Apr 30, 2026 | 35.26% |
| Jan 31, 2026 | 33.07% |
| Oct 31, 2025 | 34.50% |
| Jul 31, 2025 | 33.25% |
| Apr 30, 2025 | 27.10% |
| Jan 31, 2025 | 27.33% |
| Oct 31, 2024 | 21.59% |
| Jul 31, 2024 | 17.20% |
| Apr 30, 2024 | 13.87% |
| Jan 31, 2024 | 13.08% |
| Oct 31, 2023 | 13.15% |
| Jul 31, 2023 | 13.08% |
| Apr 30, 2023 | 12.45% |
| Jan 31, 2023 | 16.82% |
| Oct 31, 2022 | 10.95% |
| Jul 31, 2022 | 11.37% |
| Apr 30, 2022 | 11.83% |
| Jan 31, 2022 | 12.35% |
| Oct 31, 2021 | 15.41% |
Argan Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();