Argan (AGX) Cash & Equivalents (2010 - 2026)
Argan (AGX) reported Cash & Equivalents of $364.48 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 104.9% from $177.85 million a year earlier and up 2.4% from the prior quarter.
Argan (AGX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Argan posted Cash & Equivalents of $339.48 million, up 133.7% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $145.26 million in FY2025 (-26.3%), $197.03 million in FY2024 (+13.3%), $173.95 million in FY2023 (-50.4%) and $350.47 million in FY2022 (-4.4%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Cash & Equivalents since fiscal Q3 2022.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 42.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2026 (growth of 133.7%); the low point was fiscal Q2 2023 (a decline of 68.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $355.85 million (Q1 2027), $339.48 million (Q4 2026) and $306.29 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 506.43 Mn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | 4.97 Bn |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 924.41 Mn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 315.64 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 1.17 Bn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 464.45 Mn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 77.28 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | 709.17 Mn |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 1.01 Bn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 364.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 364.48 Mn |
| Apr 30, 2026 | 355.85 Mn |
| Jan 31, 2026 | 339.48 Mn |
| Oct 31, 2025 | 306.29 Mn |
| Jul 31, 2025 | 177.85 Mn |
| Apr 30, 2025 | 189.25 Mn |
| Jan 31, 2025 | 145.26 Mn |
| Oct 31, 2024 | 175.35 Mn |
| Jul 31, 2024 | 232.69 Mn |
| Apr 30, 2024 | 207.74 Mn |
| Jan 31, 2024 | 197.03 Mn |
| Oct 31, 2023 | 185.57 Mn |
| Jul 31, 2023 | 204.80 Mn |
| Apr 30, 2023 | 195.95 Mn |
| Jan 31, 2023 | 173.95 Mn |
| Oct 31, 2022 | 136.07 Mn |
| Jul 31, 2022 | 143.34 Mn |
| Apr 30, 2022 | 192.26 Mn |
| Jan 31, 2022 | 350.47 Mn |
| Oct 31, 2021 | 391.56 Mn |
Argan Cash & Equivalents 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=cash-and-equivalents&ticker=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();