Zurn Elkay Water Solutions (ZWS) Inventory (2011 - 2026)
Zurn Elkay Water Solutions' Inventory was $287.3 million in Q2 2026, up 4.2% from $275.8 million a year earlier but down 1.7% from the prior quarter.
Zurn Elkay Water Solutions (ZWS) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Zurn Elkay Water Solutions came in at $274.4 million, up 0.7% from FY2024.
- Inventory shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In earlier years, Inventory was $272.6 million in FY2024 (-1.8%), $277.6 million in FY2023 (-24.3%), $366.7 million in FY2022 (+98.8%) and $184.5 million in FY2021 (+35.6%).
- Quarterly Inventory has moved between $184.5 million (Q4 2021) and $400.2 million (Q3 2022) over five years.
- Compared with a year earlier, Inventory has increased for three straight quarters, with growth averaging 0.1% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q4 2022 (growth of 98.8%); the worst was Q1 2022 (a decline of 35.6%).
- Per Business Quant data, ZWS's Inventory in the three quarters before Q2 2026 was $292.3 million (Q1 2026), $274.4 million (Q4 2025) and $273.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 2.62 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.96 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 104.80 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 2.76 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 686.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 612.10 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 1.06 Bn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 541.90 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 492.70 Mn |
| 10 | Zurn Elkay Water Solutions | 7.72 Bn | 6.52 Bn | 288.30 Mn | 287.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.30 Mn |
| Mar 31, 2026 | 292.30 Mn |
| Dec 31, 2025 | 274.40 Mn |
| Sep 30, 2025 | 273.20 Mn |
| Jun 30, 2025 | 275.80 Mn |
| Mar 31, 2025 | 280.60 Mn |
| Dec 31, 2024 | 272.60 Mn |
| Sep 30, 2024 | 278.60 Mn |
| Jun 30, 2024 | 276.20 Mn |
| Mar 31, 2024 | 286.60 Mn |
| Dec 31, 2023 | 277.60 Mn |
| Sep 30, 2023 | 284.30 Mn |
| Jun 30, 2023 | 313.80 Mn |
| Mar 31, 2023 | 349.10 Mn |
| Dec 31, 2022 | 366.70 Mn |
| Sep 30, 2022 | 400.20 Mn |
| Jun 30, 2022 | 243.40 Mn |
| Mar 31, 2022 | 224.30 Mn |
| Dec 31, 2021 | 184.50 Mn |
| Sep 30, 2021 | 386.40 Mn |
Zurn Elkay Water Solutions Inventory 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=inventory&ticker=ZWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ZWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();