Zurn Elkay Water Solutions (ZWS) EBITDA (2011 - 2026)
Zurn Elkay Water Solutions (ZWS) recorded EBITDA of $173.6 million in Q2 2026, up 74.1% from $99.7 million a year earlier and up 68.4% from the prior quarter.
Zurn Elkay Water Solutions (ZWS) EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Zurn Elkay Water Solutions' EBITDA came in at $458.5 million as of Jun 30, 2026, up 30.9% year-over-year; for FY2025, it was $367.6 million, up 10.4% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $332.9 million in FY2024 (+19.2%), $279.3 million in FY2023 (+72.8%), $161.6 million in FY2022 (-12.4%) and $184.5 million in FY2021 (-6.3%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2020.
- On a year-over-year basis, EBITDA has increased for 15 consecutive quarters, with growth averaging 22.9% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 611.3% in Q3 2023, against a decline of 77.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $103.1 million (Q1 2026), $82.5 million (Q4 2025) and $99.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.48 Bn | 96.22 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 94.41 Bn | 94.45 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 47.67 Bn | 42.30 Bn | 1.94 Bn | 1.14 Bn |
| 4 | Comfort Systems Usa | 45.09 Bn | 39.05 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 28.22 Bn | 24.83 Bn | 1.14 Bn | 617.00 Mn |
| 6 | Allegion | 15.36 Bn | 15.36 Bn | - | - |
| 7 | James Hardie Industries | 15.27 Bn | 14.34 Bn | 548.70 Mn | 386.50 Mn |
| 8 | Masco | 14.82 Bn | 12.92 Bn | 868.00 Mn | - |
| 9 | Carlisle Companies | 13.90 Bn | 10.24 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Zurn Elkay Water Solutions | 8.13 Bn | 6.89 Bn | 245.80 Mn | 129.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 129.70 Mn |
| Jun 30, 2026 | 173.60 Mn |
| Mar 31, 2026 | 103.10 Mn |
| Dec 31, 2025 | 82.50 Mn |
| Sep 30, 2025 | 99.30 Mn |
| Jun 30, 2025 | 99.70 Mn |
| Mar 31, 2025 | 86.10 Mn |
| Dec 31, 2024 | 72.40 Mn |
| Sep 30, 2024 | 92.10 Mn |
| Jun 30, 2024 | 93.60 Mn |
| Mar 31, 2024 | 74.80 Mn |
| Dec 31, 2023 | 54.40 Mn |
| Sep 30, 2023 | 81.80 Mn |
| Jun 30, 2023 | 76.60 Mn |
| Mar 31, 2023 | 66.50 Mn |
| Dec 31, 2022 | 43.40 Mn |
| Sep 30, 2022 | 11.50 Mn |
| Jun 30, 2022 | 57.50 Mn |
| Mar 31, 2022 | 49.20 Mn |
| Dec 31, 2021 | 21.30 Mn |
Zurn Elkay Water Solutions 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=ZWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ZWS", "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=ZWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();