Argan (AGX) Retained Earnings (2011 - 2026)
Argan (AGX) recorded Retained Earnings of $491.54 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 44.5% from $340.28 million a year earlier and up 10.4% from the prior quarter.
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Analysis
Argan (AGX) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Argan reported Retained Earnings of $406.2 million, up 38.8% from FY2025.
- Annual Retained Earnings has increased for five straight fiscal years, with a five-year compound annual growth rate of 19.6% (FY2021 to FY2026).
- Across earlier fiscal years, Retained Earnings came in at $292.7 million in FY2025 (+29.8%), $225.51 million in FY2024 (+8.5%), $207.83 million in FY2023 (+10.1%) and $188.69 million in FY2022 (+13.6%).
- The fiscal Q2 2027 figure is the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- On a year-over-year basis, Retained Earnings has increased for 21 consecutive quarters, with growth averaging 36.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 3.8% in fiscal Q3 2023 to 44.5% in fiscal Q2 2027.
- Per Business Quant, the preceding three fiscal quarters came in at $445.26 million (Q1 2027), $406.2 million (Q4 2026) and $363.96 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 7.31 Bn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 6.68 Bn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 2.90 Bn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 946.46 Mn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 1.12 Bn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 1.15 Bn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | 1.47 Bn |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | -1.60 Bn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 491.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 491.54 Mn |
| Apr 30, 2026 | 445.26 Mn |
| Jan 31, 2026 | 406.20 Mn |
| Oct 31, 2025 | 363.96 Mn |
| Jul 31, 2025 | 340.28 Mn |
| Apr 30, 2025 | 310.18 Mn |
| Jan 31, 2025 | 292.70 Mn |
| Oct 31, 2024 | 266.33 Mn |
| Jul 31, 2024 | 243.52 Mn |
| Apr 30, 2024 | 229.36 Mn |
| Jan 31, 2024 | 225.51 Mn |
| Oct 31, 2023 | 217.49 Mn |
| Jul 31, 2023 | 216.01 Mn |
| Apr 30, 2023 | 206.58 Mn |
| Jan 31, 2023 | 207.83 Mn |
| Oct 31, 2022 | 197.57 Mn |
| Jul 31, 2022 | 193.21 Mn |
| Apr 30, 2022 | 192.46 Mn |
| Jan 31, 2022 | 188.69 Mn |
| Oct 31, 2021 | 190.31 Mn |
API Access
Argan Retained 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=retained-earnings&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();