Argan (AGX) Depreciation and Depletion (2010 - 2026)
Argan (AGX) posted Depreciation and Depletion of $645,000 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 31.4% from $491,000 a year earlier and up 15.4% from the prior quarter.
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Analysis
Argan (AGX) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Depreciation and Depletion at Argan was $2.21 million, up 18.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.91 million, up 0.4% from FY2025.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -12.4% (FY2021 to FY2026).
- In prior fiscal years, Argan's Depreciation and Depletion was $1.91 million in FY2025 (-5.4%), $2.01 million in FY2024 (-32.9%), $3 million in FY2023 (-11.8%) and $3.4 million in FY2022 (-8.5%).
- The fiscal Q2 2027 figure stands as the highest quarterly Depreciation and Depletion since fiscal Q4 2023.
- On a year-over-year basis, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q1 2027, with growth of 34.7%; the weakest was fiscal Q2 2024, with a decline of 34.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $559,000 (Q1 2027), $501,000 (Q4 2026) and $505,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 81.24 Bn | 77.62 Bn | 2.01 Bn | 120.39 Mn |
| 2 | Ferrovial | 42.25 Bn | 20.50 Bn | - | - |
| 3 | Emcor | 26.97 Bn | 23.24 Bn | 1.11 Bn | 20.21 Mn |
| 4 | Jacobs Solutions | 17.52 Bn | 12.19 Bn | 810.70 Mn | - |
| 5 | Mastec | 13.80 Bn | 12.33 Bn | 660.86 Mn | 93.80 Mn |
| 6 | Aecom | 8.57 Bn | 3.69 Bn | -34.04 Mn | - |
| 7 | Stantec | 8.47 Bn | 7.40 Bn | 1.36 Bn | - |
| 8 | Sterling Infrastructure | 7.75 Bn | 6.16 Bn | 377.28 Mn | 19.44 Mn |
| 9 | Fluor | 6.43 Bn | -6.77 Bn | 179.00 Mn | - |
| 10 | Argan | 3.90 Bn | 1.91 Bn | 74.22 Mn | 645,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 645,000.00 |
| Apr 30, 2026 | 559,000.00 |
| Jan 31, 2026 | 501,000.00 |
| Oct 31, 2025 | 505,000.00 |
| Jul 31, 2025 | 491,000.00 |
| Apr 30, 2025 | 415,000.00 |
| Jan 31, 2025 | 529,000.00 |
| Oct 31, 2024 | 433,000.00 |
| Jul 31, 2024 | 463,000.00 |
| Apr 30, 2024 | 480,000.00 |
| Jan 31, 2024 | 489,000.00 |
| Oct 31, 2023 | 489,000.00 |
| Jul 31, 2023 | 488,000.00 |
| Apr 30, 2023 | 547,000.00 |
| Jan 31, 2023 | 704,000.00 |
| Oct 31, 2022 | 740,000.00 |
| Jul 31, 2022 | 747,000.00 |
| Apr 30, 2022 | 809,000.00 |
| Jan 31, 2022 | 840,000.00 |
| Oct 31, 2021 | 819,000.00 |
API Access
Argan Depreciation and Depletion 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=depreciation-and-depletion&ticker=AGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();