Advanced Drainage Systems (WMS) Cash & Equivalents (2013 - 2026)
Advanced Drainage Systems (WMS) recorded Cash & Equivalents of $162.25 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 74.6% from $638.27 million a year earlier and down 27.2% from the prior quarter.
Advanced Drainage Systems (WMS) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Advanced Drainage Systems reported Cash & Equivalents of $223.01 million, down 52.5% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $469.27 million in FY2025 (-4.3%), $490.16 million in FY2024 (+125.7%), $217.13 million in FY2023 (+978.9%) and $20.13 million in FY2022 (-89.7%).
- The fiscal Q1 2027 figure is the lowest quarterly Cash & Equivalents since fiscal Q4 2022.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 5.4%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 978.9% in fiscal Q4 2023, against a decline of 93.1% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $223.01 million (Q4 2026), $1.01 billion (Q3 2026) and $812.86 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.44 Bn | 96.16 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 88.67 Bn | 86.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 49.77 Bn | 45.02 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.57 Bn | 39.88 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 27.39 Bn | 23.81 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 15.01 Bn | 14.08 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 14.70 Bn | 12.56 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Carlisle Companies | 13.37 Bn | 9.72 Bn | 568.40 Mn | 665.30 Mn |
| 9 | Allegion | 13.35 Bn | 12.06 Bn | 517.50 Mn | 320.60 Mn |
| 10 | Advanced Drainage Systems | 9.76 Bn | 7.56 Bn | 408.05 Mn | 162.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.25 Mn |
| Mar 31, 2026 | 223.01 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 812.86 Mn |
| Jun 30, 2025 | 638.27 Mn |
| Mar 31, 2025 | 469.27 Mn |
| Dec 31, 2024 | 488.86 Mn |
| Sep 30, 2024 | 613.02 Mn |
| Jun 30, 2024 | 541.64 Mn |
| Mar 31, 2024 | 490.16 Mn |
| Dec 31, 2023 | 560.74 Mn |
| Sep 30, 2023 | 470.41 Mn |
| Jun 30, 2023 | 366.10 Mn |
| Mar 31, 2023 | 217.13 Mn |
| Dec 31, 2022 | 426.69 Mn |
| Sep 30, 2022 | 457.36 Mn |
| Jun 30, 2022 | 463.70 Mn |
| Mar 31, 2022 | 20.13 Mn |
| Dec 31, 2021 | 22.17 Mn |
| Sep 30, 2021 | 14.01 Mn |
Advanced Drainage Systems Cash & Equivalents 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=cash-and-equivalents&ticker=WMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();