Argan (AGX) Price to Earnings (2011 - 2026)
Argan's (AGX) Price to Earnings was 44.64 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 54.6% from 28.87 a year earlier but down 23.4% from the prior quarter.
Argan (AGX) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Price to Earnings at Argan was 35.15, up 61.0% from FY2025.
- Price to Earnings has increased for four consecutive fiscal years.
- By fiscal year, Price to Earnings came in at 21.83 in FY2025 (+20.3%), 18.14 in FY2024 (+14.6%), 15.83 in FY2023 (+6.8%) and 14.82 in FY2022 (-47.9%).
- Five-year quarterly Price to Earnings spans a low of 14.01 in fiscal Q2 2024 and a high of 58.24 in fiscal Q1 2027.
- Year over year, Price to Earnings has now increased in each of the last five quarters, with growth averaging 51.7% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was fiscal Q1 2027 (growth of 179.2%); the low point was fiscal Q3 2022 (a decline of 84.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 58.24 (Q1 2027), 35.15 (Q4 2026) and 35.42 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn |
| 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 |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 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 |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 44.64 |
| Apr 30, 2026 | 58.24 |
| Jan 31, 2026 | 35.15 |
| Oct 31, 2025 | 35.42 |
| Jul 31, 2025 | 28.87 |
| Apr 30, 2025 | 20.86 |
| Jan 31, 2025 | 21.83 |
| Oct 31, 2024 | 27.10 |
| Jul 31, 2024 | 24.46 |
| Apr 30, 2024 | 21.10 |
| Jan 31, 2024 | 18.14 |
| Oct 31, 2023 | 17.95 |
| Jul 31, 2023 | 14.01 |
| Apr 30, 2023 | 19.47 |
| Jan 31, 2023 | 15.83 |
| Oct 31, 2022 | 21.71 |
| Jul 31, 2022 | 19.61 |
| Apr 30, 2022 | 15.34 |
| Jan 31, 2022 | 14.82 |
| Oct 31, 2021 | 14.29 |
Argan Price to Earnings 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=price-to-earnings&ticker=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();