Argan (AGX) Shares Outstanding (Diluted) (2010 - 2026)
Argan (AGX) posted Shares Outstanding (Diluted) of 14.16 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.2% from 14.13 million a year earlier but down 0.2% from the prior quarter.
Argan (AGX) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Argan's Shares Outstanding (Diluted) came in at 14.15 million, up 1.7% from FY2025.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- In prior fiscal years, Argan's Shares Outstanding (Diluted) was 13.91 million in FY2025 (+2.6%), 13.55 million in FY2024 (-4.4%), 14.18 million in FY2023 (-10.9%) and 15.91 million in FY2022 (+0.6%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 13.54 million in fiscal Q2 2024 to a high of 15.96 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last ten quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q1 2026, with growth of 4.0%; the weakest was fiscal Q3 2023, with a decline of 13.5%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 14.2 million (Q1 2027), 14.15 million (Q4 2026) and 14.16 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 152.44 Mn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | 718.72 Mn |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 44.55 Mn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 78.87 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 118.90 Mn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 31.14 Mn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 40.40 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | 29.33 Mn |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 128.60 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 14.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.16 Mn |
| Apr 30, 2026 | 14.20 Mn |
| Jan 31, 2026 | 14.15 Mn |
| Oct 31, 2025 | 14.16 Mn |
| Jul 31, 2025 | 14.13 Mn |
| Apr 30, 2025 | 14.11 Mn |
| Jan 31, 2025 | 13.91 Mn |
| Oct 31, 2024 | 14.03 Mn |
| Jul 31, 2024 | 13.88 Mn |
| Apr 30, 2024 | 13.57 Mn |
| Jan 31, 2024 | 13.55 Mn |
| Oct 31, 2023 | 13.56 Mn |
| Jul 31, 2023 | 13.54 Mn |
| Apr 30, 2023 | 13.55 Mn |
| Jan 31, 2023 | 14.18 Mn |
| Oct 31, 2022 | 13.81 Mn |
| Jul 31, 2022 | 14.25 Mn |
| Apr 30, 2022 | 14.99 Mn |
| Jan 31, 2022 | 15.91 Mn |
| Oct 31, 2021 | 15.96 Mn |
Argan Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();