Advanced Drainage Systems (WMS) EBITDA (2013 - 2026)
Advanced Drainage Systems' EBITDA came in at $316.71 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 23.7% from $255.97 million a year earlier and up 179.9% from the prior quarter.
Advanced Drainage Systems (WMS) EBITDA (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Advanced Drainage Systems reported EBITDA of $896.19 million, up 8.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $835.46 million, down 0.6% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 11.3% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $840.72 million in FY2025 (-5.2%), $887.03 million in FY2024 (+2.6%), $864.46 million in FY2023 (+56.1%) and $553.73 million in FY2022 (+13.0%).
- The fiscal Q1 2027 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2014.
- Year-over-year, EBITDA increased in three of the last eight quarters, with an average decline of 0.2%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2023 (growth of 99.5%), and the weakest in fiscal Q4 2026 (a decline of 32.1%).
- Business Quant data shows WMS's EBITDA at $113.16 million (Q4 2026), $188.35 million (Q3 2026) and $277.99 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 601.51 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | - |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 401.20 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 290.40 Mn |
| 10 | Advanced Drainage Systems | 9.96 Bn | 7.75 Bn | 408.05 Mn | 317.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317.67 Mn |
| Mar 31, 2026 | 114.08 Mn |
| Dec 31, 2025 | 188.62 Mn |
| Sep 30, 2025 | 278.50 Mn |
| Jun 30, 2025 | 256.49 Mn |
| Mar 31, 2025 | 167.10 Mn |
| Dec 31, 2024 | 175.14 Mn |
| Sep 30, 2024 | 232.69 Mn |
| Jun 30, 2024 | 267.82 Mn |
| Mar 31, 2024 | 178.78 Mn |
| Dec 31, 2023 | 191.83 Mn |
| Sep 30, 2023 | 235.27 Mn |
| Jun 30, 2023 | 283.20 Mn |
| Mar 31, 2023 | 163.94 Mn |
| Dec 31, 2022 | 160.84 Mn |
| Sep 30, 2022 | 253.56 Mn |
| Jun 30, 2022 | 287.53 Mn |
| Mar 31, 2022 | 118.99 Mn |
| Dec 31, 2021 | 145.25 Mn |
| Sep 30, 2021 | 145.85 Mn |
Advanced Drainage Systems EBITDA 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=ebitda&ticker=WMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();