Zurn Elkay Water Solutions (ZWS) Operating Expenses (2011 - 2026)
Zurn Elkay Water Solutions (ZWS) posted Operating Expenses of $121.3 million for Q2 2026, up 10.2% from $110.1 million a year earlier and up 11.2% from the prior quarter.
Zurn Elkay Water Solutions (ZWS) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Zurn Elkay Water Solutions was $444.6 million, up 7.3% year-over-year; for FY2025, it was $427.2 million, up 5.9% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In prior years, Zurn Elkay Water Solutions' Operating Expenses was $403.3 million in FY2024 (+4.3%), $386.6 million in FY2023 (+19.2%), $324.4 million in FY2022 (+33.7%) and $242.7 million in FY2021 (+16.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2022.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 136.5%; the weakest was Q3 2023, with a decline of 30.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $109.1 million (Q1 2026), $105.7 million (Q4 2025) and $108.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Zurn Elkay Water Solutions | 7.72 Bn | 6.52 Bn | 288.30 Mn | 121.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.30 Mn |
| Mar 31, 2026 | 109.10 Mn |
| Dec 31, 2025 | 105.70 Mn |
| Sep 30, 2025 | 108.50 Mn |
| Jun 30, 2025 | 110.10 Mn |
| Mar 31, 2025 | 102.90 Mn |
| Dec 31, 2024 | 97.10 Mn |
| Sep 30, 2024 | 104.40 Mn |
| Jun 30, 2024 | 99.60 Mn |
| Mar 31, 2024 | 102.20 Mn |
| Dec 31, 2023 | 97.00 Mn |
| Sep 30, 2023 | 95.10 Mn |
| Jun 30, 2023 | 104.10 Mn |
| Mar 31, 2023 | 90.40 Mn |
| Dec 31, 2022 | 74.70 Mn |
| Sep 30, 2022 | 136.00 Mn |
| Jun 30, 2022 | 58.70 Mn |
| Mar 31, 2022 | 55.00 Mn |
| Dec 31, 2021 | 66.20 Mn |
| Sep 30, 2021 | 57.50 Mn |
Zurn Elkay Water Solutions Operating Expenses 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=operating-expenses&ticker=ZWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ZWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();