Dycom Industries (DY) Payables (2009 - 2026)
Dycom Industries (DY) recorded Payables of $610.05 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 130.3% from $264.91 million a year earlier but down 8.5% from the prior quarter.
Dycom Industries (DY) Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dycom Industries reported Payables of $497.26 million, up 122.5% from FY2025.
- Annual Payables has increased for four straight fiscal years, with a five-year compound annual growth rate of 25.6% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $223.49 million in FY2025 (+0.6%), $222.12 million in FY2024 (+6.9%), $207.74 million in FY2023 (+33.3%) and $155.9 million in FY2022 (-1.9%).
- Quarterly Payables has ranged from $155.9 million in fiscal Q4 2022 to $666.64 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Payables has increased for 18 consecutive quarters, with growth averaging 60.1% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 157.2% in fiscal Q1 2027, against a decline of 5.5% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $666.64 million (Q1 2027), $497.26 million (Q4 2026) and $297.13 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | 7.19 Bn |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | 4.91 Bn |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | 1.41 Bn |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | 1.78 Bn |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | 1.95 Bn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | 879.13 Mn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | 2.38 Bn |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | 387.99 Mn |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | 584.15 Mn |
| 10 | Dycom Industries | 6.68 Bn | 4.98 Bn | 440.55 Mn | 610.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 610.05 Mn |
| May 2, 2026 | 666.64 Mn |
| Jan 31, 2026 | 497.26 Mn |
| Oct 25, 2025 | 297.13 Mn |
| Jul 26, 2025 | 264.91 Mn |
| Apr 26, 2025 | 259.23 Mn |
| Jan 25, 2025 | 223.49 Mn |
| Oct 26, 2024 | 241.01 Mn |
| Jul 27, 2024 | 233.53 Mn |
| Apr 27, 2024 | 212.89 Mn |
| Jan 27, 2024 | 222.12 Mn |
| Oct 28, 2023 | 215.28 Mn |
| Jul 29, 2023 | 204.78 Mn |
| Apr 29, 2023 | 196.18 Mn |
| Jan 28, 2023 | 207.74 Mn |
| Oct 29, 2022 | 200.98 Mn |
| Jul 30, 2022 | 187.57 Mn |
| Apr 30, 2022 | 176.45 Mn |
| Jan 29, 2022 | 155.90 Mn |
| Oct 30, 2021 | 173.60 Mn |
Dycom Industries Payables 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=payables&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();