Quanta Services (PWR) Change in Accrued Expenses (2009 - 2026)
Quanta Services' Change in Accrued Expenses was $762.98 million in Q2 2026, up 541.0% from $119.03 million a year earlier and up 530.6% from the prior quarter.
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Analysis
Quanta Services (PWR) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quanta Services' Change in Accrued Expenses was $1.47 billion through Jun 30, 2026, up 746.6% year-over-year; for FY2025, it came in at $654.96 million.
- Change in Accrued Expenses shows a four-year compound annual growth rate of 61.7% (FY2021 to FY2025).
- In earlier years, Change in Accrued Expenses was $52.42 million in FY2024 (-93.2%), $771.85 million in FY2023 (+435.2%), $144.22 million in FY2022 (+50.5%) and $95.83 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Accrued Expenses in data going back to Q1 2009.
- Compared with a year earlier, Change in Accrued Expenses was higher in two of the last four quarters, with growth averaging 131.8%.
- Per Business Quant data, PWR's Change in Accrued Expenses in the three quarters before Q2 2026 was $120.99 million (Q1 2026), -$46.78 million (Q4 2025) and $637.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.45 Bn | 85.83 Bn | 2.01 Bn | 1.05 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | -74.92 Mn |
| 5 | Mastec | 14.15 Bn | 12.69 Bn | 660.86 Mn | 305.78 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 34.76 Mn |
| 7 | Sterling Infrastructure | 8.84 Bn | 7.26 Bn | 377.28 Mn | - |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | - |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 72.13 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 83.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.05 Bn |
| Jun 30, 2026 | 762.98 Mn |
| Mar 31, 2026 | 120.99 Mn |
| Dec 31, 2025 | -46.78 Mn |
| Sep 30, 2025 | 637.20 Mn |
| Jun 30, 2025 | 119.03 Mn |
| Mar 31, 2025 | -54.49 Mn |
| Dec 31, 2024 | -278.84 Mn |
| Sep 30, 2024 | 388.45 Mn |
| Jun 30, 2024 | 292.68 Mn |
| Mar 31, 2024 | -349.87 Mn |
| Dec 31, 2023 | -4.64 Mn |
| Sep 30, 2023 | 475.84 Mn |
| Jun 30, 2023 | 334.27 Mn |
| Mar 31, 2023 | -33.62 Mn |
| Dec 31, 2022 | -143.67 Mn |
| Sep 30, 2022 | 229.99 Mn |
| Mar 31, 2017 | 69.49 Mn |
| Dec 31, 2016 | -34.74 Mn |
| Sep 30, 2016 | 105.10 Mn |
API Access
Quanta Services Change in Accrued Expenses 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=change-in-accured-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PWR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();