Zurn Elkay Water Solutions (ZWS) Depreciation and Depletion (2011 - 2026)
Zurn Elkay Water Solutions (ZWS) reported Depreciation and Depletion of $6.6 million for Q2 2026, down 12.0% from $7.5 million a year earlier but up 3.1% from the prior quarter.
Zurn Elkay Water Solutions (ZWS) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Zurn Elkay Water Solutions' Depreciation and Depletion came in at $27.5 million, down 11.0% year-over-year; for FY2025, it came in at $30 million, up 2.7% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $29.2 million in FY2024 (unchanged), $29.2 million in FY2023 (+42.4%), $20.5 million in FY2022 (-53.5%) and $44.1 million in FY2021 (-17.1%).
- Five-year quarterly Depreciation and Depletion spans a low of $2.3 million in Q4 2021 and a high of $13.7 million in Q3 2021.
- Year over year, Depreciation and Depletion has now declined in each of the last three quarters, with growth averaging 0.4% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2022 (growth of 278.3%); the low point was Q1 2022 (a decline of 83.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.4 million (Q1 2026), $7.4 million (Q4 2025) and $7.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 45.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 20.04 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 87.60 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 18.60 Mn |
| 10 | Zurn Elkay Water Solutions | 7.92 Bn | 6.72 Bn | 288.30 Mn | 6.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.60 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | 7.10 Mn |
| Jun 30, 2025 | 7.50 Mn |
| Mar 31, 2025 | 8.00 Mn |
| Dec 31, 2024 | 8.30 Mn |
| Sep 30, 2024 | 7.10 Mn |
| Jun 30, 2024 | 6.90 Mn |
| Mar 31, 2024 | 6.90 Mn |
| Dec 31, 2023 | 6.90 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 7.20 Mn |
| Mar 31, 2023 | 8.10 Mn |
| Dec 31, 2022 | 8.70 Mn |
| Sep 30, 2022 | 7.10 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 2.30 Mn |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2021 | 13.70 Mn |
Zurn Elkay Water Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=ZWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ZWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();