Advanced Drainage Systems (WMS) Cost of Revenue (2013 - 2026)
Advanced Drainage Systems' Cost of Revenue was $593.07 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 18.7% from $499.44 million a year earlier and up 35.1% from the prior quarter.
Advanced Drainage Systems (WMS) Cost of Revenue (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Advanced Drainage Systems' Cost of Revenue was $1.98 billion through Jun 30, 2026, up 8.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.88 billion, up 4.0% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $1.81 billion in FY2025 (+4.7%), $1.73 billion in FY2024 (-11.5%), $1.95 billion in FY2023 (+0.2%) and $1.95 billion in FY2022 (+50.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Cost of Revenue in data going back to fiscal Q1 2014.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 5.9%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q3 2022 (growth of 59.4%); the worst was fiscal Q1 2024 (a decline of 20.5%).
- Per Business Quant data, WMS's Cost of Revenue in the three fiscal quarters before Q1 2027 was $439.1 million (Q4 2026), $434.2 million (Q3 2026) and $510.25 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 2.42 Bn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 4.41 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 2.72 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 925.90 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 1.12 Bn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 634.00 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Advanced Drainage Systems | 9.78 Bn | 7.58 Bn | 408.05 Mn | 593.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 593.07 Mn |
| Mar 31, 2026 | 439.10 Mn |
| Dec 31, 2025 | 434.20 Mn |
| Sep 30, 2025 | 510.25 Mn |
| Jun 30, 2025 | 499.44 Mn |
| Mar 31, 2025 | 389.51 Mn |
| Dec 31, 2024 | 448.94 Mn |
| Sep 30, 2024 | 488.67 Mn |
| Jun 30, 2024 | 482.88 Mn |
| Mar 31, 2024 | 401.88 Mn |
| Dec 31, 2023 | 402.52 Mn |
| Sep 30, 2023 | 477.54 Mn |
| Jun 30, 2023 | 446.59 Mn |
| Mar 31, 2023 | 395.14 Mn |
| Dec 31, 2022 | 431.25 Mn |
| Sep 30, 2022 | 564.25 Mn |
| Jun 30, 2022 | 562.08 Mn |
| Mar 31, 2022 | 468.78 Mn |
| Dec 31, 2021 | 506.38 Mn |
| Sep 30, 2021 | 506.41 Mn |
Advanced Drainage Systems Cost of Revenue 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=cost-of-revenue&ticker=WMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();