Dycom Industries (DY) Depreciation and Depletion (2011 - 2025)
Dycom Industries' Depreciation and Depletion was $50.3 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 18.6% from $42.4 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Dycom Industries (DY) Depreciation and Depletion (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Dycom Industries' Depreciation and Depletion was $190.4 million through Oct 25, 2025, up 18.3% year-over-year; for FY2025 (ended Jan 25, 2025), it was $167.2 million, up 16.7% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In earlier fiscal years, Depreciation and Depletion was $143.28 million in FY2024 (+11.2%), $128.84 million in FY2023 (-4.7%), $135.16 million in FY2022 (-13.0%) and $155.27 million in FY2021 (-6.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Depreciation and Depletion in data going back to fiscal Q3 2019.
- Compared with a year earlier, Depreciation and Depletion has increased for 11 straight quarters, with growth averaging 17.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q2 2026 (growth of 20.1%); the worst was fiscal Q1 2022 (a decline of 15.3%).
- Per Business Quant data, DY's Depreciation and Depletion in the three fiscal quarters before Q3 2026 was $48.9 million (Q2 2026), $46.4 million (Q1 2026) and $44.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 117.14 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 19.39 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 86.10 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 17.50 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | - |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | 50.30 Mn |
| Jul 26, 2025 | 48.90 Mn |
| Apr 26, 2025 | 46.40 Mn |
| Jan 25, 2025 | 44.80 Mn |
| Oct 26, 2024 | 42.40 Mn |
| Jul 27, 2024 | 40.70 Mn |
| Apr 27, 2024 | 39.40 Mn |
| Jan 27, 2024 | 38.48 Mn |
| Oct 28, 2023 | 36.50 Mn |
| Jul 29, 2023 | 34.50 Mn |
| Apr 29, 2023 | 33.80 Mn |
| Jan 28, 2023 | 33.14 Mn |
| Oct 29, 2022 | 31.60 Mn |
| Jul 30, 2022 | 31.50 Mn |
| Apr 30, 2022 | 32.70 Mn |
| Jan 29, 2022 | 33.36 Mn |
| Oct 30, 2021 | 33.70 Mn |
| Jul 31, 2021 | 33.80 Mn |
| May 1, 2021 | 34.40 Mn |
| Jan 30, 2021 | 38.37 Mn |
API Access
Dycom Industries 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=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DY", "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=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();