Argan (AGX) Capital Expenditures (2010 - 2026)
Argan's Capital Expenditures was $5.26 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 210.2% from $1.69 million a year earlier and up 116.0% from the prior quarter.
Argan (AGX) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Argan's Capital Expenditures was $9.48 million through Jul 31, 2026, up 57.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.88 million, down 41.1% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of 18.0% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $6.58 million in FY2025 (+138.9%), $2.76 million in FY2024 (-18.3%), $3.37 million in FY2023 (+137.1%) and $1.42 million in FY2022 (-16.2%).
- The fiscal Q2 2027 figure marks the highest quarterly Capital Expenditures in data going back to fiscal Q3 2011.
- Compared with a year earlier, Capital Expenditures was higher in five of the last eight quarters, with growth averaging 110.5%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2027 (growth of 515.9%); the worst was fiscal Q3 2026 (a decline of 77.1%).
- Per Business Quant data, AGX's Capital Expenditures in the three fiscal quarters before Q2 2027 was $2.43 million (Q1 2027), $1.21 million (Q4 2026) and $583,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 102.72 Bn | 100.91 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 37.36 Bn | 17.95 Bn | - | - |
| 3 | Emcor | 34.45 Bn | 30.84 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Mastec | 17.62 Bn | 16.52 Bn | 556.28 Mn | 91.51 Mn |
| 5 | Jacobs Solutions | 16.24 Bn | 10.89 Bn | 810.70 Mn | 25.13 Mn |
| 6 | Sterling Infrastructure | 16.06 Bn | 14.42 Bn | 289.96 Mn | 50.02 Mn |
| 7 | IES Holdings | 13.53 Bn | 12.40 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Dycom Industries | 8.22 Bn | 7.36 Bn | - | - |
| 9 | Aecom | 7.69 Bn | 3.02 Bn | -34.04 Mn | 40.35 Mn |
| 10 | Argan | 5.45 Bn | 3.45 Bn | 74.22 Mn | 5.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.26 Mn |
| Apr 30, 2026 | 2.43 Mn |
| Jan 31, 2026 | 1.21 Mn |
| Oct 31, 2025 | 583,000.00 |
| Jul 31, 2025 | 1.69 Mn |
| Apr 30, 2025 | 395,000.00 |
| Jan 31, 2025 | 1.37 Mn |
| Oct 31, 2024 | 2.55 Mn |
| Jul 31, 2024 | 2.35 Mn |
| Apr 30, 2024 | 322,000.00 |
| Jan 31, 2024 | 613,000.00 |
| Oct 31, 2023 | 1.11 Mn |
| Jul 31, 2023 | 386,000.00 |
| Apr 30, 2023 | 645,000.00 |
| Jan 31, 2023 | 790,000.00 |
| Oct 31, 2022 | 1.94 Mn |
| Jul 31, 2022 | 400,000.00 |
| Apr 30, 2022 | 238,000.00 |
| Jan 31, 2022 | 299,000.00 |
| Oct 31, 2021 | 112,000.00 |
Argan Capital Expenditures 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=capital-expenditures&ticker=AGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();