Advanced Drainage Systems (WMS) Enterprise Value (2014 - 2026)
Advanced Drainage Systems (WMS) recorded Enterprise Value of $11.1 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 43.2% from $7.75 billion a year earlier and up 13.1% from the prior quarter.
Advanced Drainage Systems (WMS) Enterprise Value (2014 - 2026) Analysis & Trends
On a TTM basis, Advanced Drainage Systems' Enterprise Value came in at $9.06 billion as of Jun 30, 2026, up 46.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $9.81 billion, up 32.1% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $7.43 billion in FY2025 (-37.2%), $11.82 billion in FY2024 (+104.2%), $5.79 billion in FY2023 (-33.9%) and $8.77 billion in FY2022 (+17.9%).
- The fiscal Q1 2027 figure is the highest quarterly Enterprise Value since fiscal Q4 2024.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 104.2% in fiscal Q4 2024, against a decline of 43.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.81 billion (Q4 2026), $9.65 billion (Q3 2026) and $9.35 billion (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 | 11.10 Bn |
| Mar 31, 2026 | 9.81 Bn |
| Dec 31, 2025 | 9.65 Bn |
| Sep 30, 2025 | 9.35 Bn |
| Jun 30, 2025 | 7.75 Bn |
| Mar 31, 2025 | 7.43 Bn |
| Dec 31, 2024 | 7.89 Bn |
| Sep 30, 2024 | 10.72 Bn |
| Jun 30, 2024 | 10.98 Bn |
| Mar 31, 2024 | 11.82 Bn |
| Dec 31, 2023 | 9.43 Bn |
| Sep 30, 2023 | 7.63 Bn |
| Jun 30, 2023 | 7.69 Bn |
| Mar 31, 2023 | 5.79 Bn |
| Dec 31, 2022 | 5.59 Bn |
| Sep 30, 2022 | 8.81 Bn |
| Jun 30, 2022 | 6.24 Bn |
| Mar 31, 2022 | 8.77 Bn |
| Dec 31, 2021 | 9.89 Bn |
| Sep 30, 2021 | 7.80 Bn |
Advanced Drainage Systems Enterprise Value 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=enterprise-value&ticker=WMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();