Advanced Drainage Systems (WMS) Total Non-Current Liabilities (2014 - 2026)
Advanced Drainage Systems' Total Non-Current Liabilities came in at $2.6 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 21.9% from $2.13 billion a year earlier.
Advanced Drainage Systems (WMS) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Advanced Drainage Systems' Total Non-Current Liabilities was $29.01 million.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 81.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $1.59 million in FY2025 (-15.3%), $1.88 million in FY2024 (+21.8%), $1.54 million in FY2023 (-2.0%) and $1.58 million in FY2022 (+7.7%).
- The fiscal Q1 2027 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2014.
- Year-over-year, Total Non-Current Liabilities increased in six of the last seven quarters, with growth averaging 3.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q1 2023 (growth of 33.9%), and the weakest in fiscal Q4 2025 (a decline of 15.3%).
- Business Quant data shows WMS's Total Non-Current Liabilities at $29.01 million (Q4 2026), $2.11 billion (Q3 2026) and $2.15 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 13.96 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 5.10 Bn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 16.58 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 6.83 Bn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 5.38 Bn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 2.81 Bn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 4.36 Bn |
| 10 | Advanced Drainage Systems | 9.78 Bn | 7.58 Bn | 408.05 Mn | 2.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.60 Bn |
| Mar 31, 2026 | 29.01 Mn |
| Dec 31, 2025 | 2.11 Bn |
| Sep 30, 2025 | 2.15 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 1.59 Mn |
| Dec 31, 2024 | 2.04 Bn |
| Sep 30, 2024 | 2.07 Bn |
| Jun 30, 2024 | 2.09 Bn |
| Mar 31, 2024 | 1.88 Mn |
| Dec 31, 2023 | 1.99 Bn |
| Sep 30, 2023 | 2.02 Bn |
| Jun 30, 2023 | 2.02 Bn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 1.98 Bn |
| Sep 30, 2022 | 2.05 Bn |
| Jun 30, 2022 | 2.15 Bn |
| Mar 31, 2022 | 1.58 Mn |
| Dec 31, 2021 | 1.69 Bn |
| Sep 30, 2021 | 1.74 Bn |
Advanced Drainage Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();