Advanced Drainage Systems (WMS) EPS (Diluted) (2013 - 2026)
Advanced Drainage Systems (WMS) posted EPS (Diluted) of $2.19 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 18.8% from $1.84 a year earlier and up 421.3% from the prior quarter.
Powered by 
Analysis
Advanced Drainage Systems (WMS) EPS (Diluted) (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Advanced Drainage Systems was $5.86, up 5.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $5.44, down 5.5% from FY2025.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 16.0% (FY2021 to FY2026).
- In prior fiscal years, Advanced Drainage Systems' EPS (Diluted) was $5.76 in FY2025 (-10.8%), $6.45 in FY2024 (+6.1%), $6.08 in FY2023 (+63.5%) and $3.72 in FY2022 (+43.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly EPS (Diluted) since fiscal Q1 2023.
- On a year-over-year basis, EPS (Diluted) increased in three of the last eight quarters, with an average decline of 7.3%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q4 2022, with growth of 173.9%; the weakest was fiscal Q4 2026, with a decline of 57.5%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $0.42 (Q4 2026), $1.19 (Q3 2026) and $1.99 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 4.16 |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 1.23 |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 12.53 |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 0.60 |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 1.12 |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 0.18 |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 1.60 |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 2.15 |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 6.30 |
| 10 | Advanced Drainage Systems | 9.78 Bn | 7.58 Bn | 408.05 Mn | 2.19 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 |
| Mar 31, 2026 | 0.42 |
| Dec 31, 2025 | 1.19 |
| Sep 30, 2025 | 1.99 |
| Jun 30, 2025 | 1.84 |
| Mar 31, 2025 | 0.99 |
| Dec 31, 2024 | 1.04 |
| Sep 30, 2024 | 1.67 |
| Jun 30, 2024 | 2.06 |
| Mar 31, 2024 | 1.20 |
| Dec 31, 2023 | 1.34 |
| Sep 30, 2023 | 1.71 |
| Jun 30, 2023 | 2.18 |
| Mar 31, 2023 | 1.03 |
| Dec 31, 2022 | 0.99 |
| Sep 30, 2022 | 1.80 |
| Jun 30, 2022 | 2.22 |
| Mar 31, 2022 | 0.64 |
| Dec 31, 2021 | 1.01 |
| Sep 30, 2021 | 1.05 |
API Access
Advanced Drainage Systems EPS (Diluted) 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=eps-diluted&ticker=WMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();