Advanced Drainage Systems (WMS) Gross Profit (2013 - 2026)
Advanced Drainage Systems (WMS) posted Gross Profit of $408.05 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 23.5% from $330.44 million a year earlier and up 71.7% from the prior quarter.
Advanced Drainage Systems (WMS) Gross Profit (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Profit at Advanced Drainage Systems was $1.24 billion, up 14.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.17 billion, up 6.7% from FY2025.
- Annual Gross Profit shows a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- In prior fiscal years, Advanced Drainage Systems' Gross Profit was $1.09 billion in FY2025 (-4.5%), $1.15 billion in FY2024 (+2.5%), $1.12 billion in FY2023 (+39.7%) and $800.38 million in FY2022 (+16.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Gross Profit in data going back to fiscal Q1 2014.
- On a year-over-year basis, Gross Profit has increased in each of the last four quarters, with growth averaging 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Gross Profit in the past five years was fiscal Q1 2023, with growth of 75.1%; the weakest was fiscal Q4 2025, with a decline of 10.2%.
- According to Business Quant data, Gross Profit for the three prior fiscal quarters was $237.66 million (Q4 2026), $259.15 million (Q3 2026) and $340.13 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.05 Mn |
| Mar 31, 2026 | 237.66 Mn |
| Dec 31, 2025 | 259.15 Mn |
| Sep 30, 2025 | 340.13 Mn |
| Jun 30, 2025 | 330.44 Mn |
| Mar 31, 2025 | 226.25 Mn |
| Dec 31, 2024 | 241.59 Mn |
| Sep 30, 2024 | 293.94 Mn |
| Jun 30, 2024 | 332.45 Mn |
| Mar 31, 2024 | 251.96 Mn |
| Dec 31, 2023 | 259.85 Mn |
| Sep 30, 2023 | 302.68 Mn |
| Jun 30, 2023 | 331.46 Mn |
| Mar 31, 2023 | 222.42 Mn |
| Dec 31, 2022 | 223.92 Mn |
| Sep 30, 2022 | 319.96 Mn |
| Jun 30, 2022 | 352.11 Mn |
| Mar 31, 2022 | 190.23 Mn |
| Dec 31, 2021 | 208.98 Mn |
| Sep 30, 2021 | 200.06 Mn |
Advanced Drainage Systems Gross Profit 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=gross-profit&ticker=WMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();