Dycom Industries (DY) Inventory (2011 - 2026)
Dycom Industries (DY) posted Inventory of $128.35 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 0.9% from $127.26 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Dycom Industries (DY) Inventory (2011 - 2026) Analysis & Trends
Since fiscal Q4 2018, Dycom Industries has reported Inventory for 31 quarters.
- Annual Inventory shows a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- In prior fiscal years, Dycom Industries' Inventory was $127.26 million in FY2025 (+17.2%), $108.57 million in FY2024 (-5.6%), $114.97 million in FY2023 (+41.4%) and $81.29 million in FY2022 (+14.7%).
- Quarterly Inventory has run from a low of $69.69 million in fiscal Q2 2022 to a high of $132.97 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last six quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q3 2023, with growth of 53.3%; the weakest was fiscal Q1 2022, with a decline of 23.3%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $120.06 million (Q3 2026), $122.56 million (Q2 2026) and $132.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 469.87 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 628.58 Mn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 113.60 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 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 | 133.60 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 128.35 Mn |
| 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 |
|---|---|
| Jan 31, 2026 | 128.35 Mn |
| Oct 25, 2025 | 120.06 Mn |
| Jul 26, 2025 | 122.56 Mn |
| Apr 26, 2025 | 132.97 Mn |
| Jan 25, 2025 | 127.26 Mn |
| Oct 26, 2024 | 115.97 Mn |
| Jul 27, 2024 | 101.25 Mn |
| Apr 27, 2024 | 103.95 Mn |
| Jan 27, 2024 | 108.57 Mn |
| Oct 28, 2023 | 114.02 Mn |
| Jul 29, 2023 | 117.23 Mn |
| Apr 29, 2023 | 115.75 Mn |
| Jan 28, 2023 | 114.97 Mn |
| Oct 29, 2022 | 107.14 Mn |
| Jul 30, 2022 | 98.88 Mn |
| Apr 30, 2022 | 94.07 Mn |
| Jan 29, 2022 | 81.29 Mn |
| Oct 30, 2021 | 69.88 Mn |
| Jul 31, 2021 | 69.69 Mn |
| May 1, 2021 | 71.06 Mn |
API Access
Dycom Industries Inventory 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=inventory&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();