Advanced Drainage Systems (WMS) Change in Accured Expenses (2016 - 2026)
Advanced Drainage Systems (WMS) recorded Change in Accured Expenses of $83.35 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 8.3% from $76.99 million a year earlier and up 165.7% from the prior quarter.
Advanced Drainage Systems (WMS) Change in Accured Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Advanced Drainage Systems' Change in Accured Expenses came in at $60.32 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at $53.96 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at -$63.86 million in FY2025, $40.43 million in FY2024, -$29.04 million in FY2023 and $50.11 million in FY2022 (-29.7%).
- The fiscal Q1 2027 figure is the highest quarterly Change in Accured Expenses since fiscal Q1 2023.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last four quarters, with growth averaging 129.5%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 529.7% in fiscal Q4 2026, against a decline of 61.5% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $31.37 million (Q4 2026), -$55.59 million (Q3 2026) and $1.18 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 210.62 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 280.00 Mn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 49.00 Mn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | -10.80 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 92.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | - |
| 10 | Advanced Drainage Systems | 9.78 Bn | 7.58 Bn | 408.05 Mn | 83.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.35 Mn |
| Mar 31, 2026 | 31.37 Mn |
| Dec 31, 2025 | -55.59 Mn |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 76.99 Mn |
| Mar 31, 2025 | 4.98 Mn |
| Dec 31, 2024 | -98.98 Mn |
| Sep 30, 2024 | -24.18 Mn |
| Jun 30, 2024 | 54.32 Mn |
| Mar 31, 2024 | 12.96 Mn |
| Dec 31, 2023 | -12.15 Mn |
| Sep 30, 2023 | -5.97 Mn |
| Jun 30, 2023 | 45.59 Mn |
| Mar 31, 2023 | -8.95 Mn |
| Dec 31, 2022 | -69.79 Mn |
| Sep 30, 2022 | -51.51 Mn |
| Jun 30, 2022 | 101.21 Mn |
| Mar 31, 2022 | 21.02 Mn |
| Dec 31, 2021 | -75.42 Mn |
| Sep 30, 2021 | 28.65 Mn |
Advanced Drainage Systems Change in Accured 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=WMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WMS", "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=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();