Mueller Water Products (MWA) Other Non-Current Liabilities (2010 - 2026)
Mueller Water Products' Other Non-Current Liabilities was $67.9 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 15.3% from $58.9 million a year earlier and up 8.3% from the prior quarter.
Mueller Water Products (MWA) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Liabilities at Mueller Water Products came in at $65.5 million, up 2.8% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $63.7 million in FY2024 (+17.5%), $54.2 million in FY2023 (-2.2%), $55.4 million in FY2022 (-10.6%) and $62 million in FY2021 (+10.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Other Non-Current Liabilities since fiscal Q3 2017.
- Compared with a year earlier, Other Non-Current Liabilities has increased for four straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 17.5%); the worst was fiscal Q3 2023 (a decline of 13.4%).
- Per Business Quant data, MWA's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $62.7 million (Q2 2026), $64.1 million (Q1 2026) and $65.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Mueller Water Products | 3.32 Bn | 1.51 Bn | 155.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.90 Mn |
| Mar 31, 2026 | 62.70 Mn |
| Dec 31, 2025 | 64.10 Mn |
| Sep 30, 2025 | 65.50 Mn |
| Jun 30, 2025 | 58.90 Mn |
| Mar 31, 2025 | 58.80 Mn |
| Dec 31, 2024 | 61.00 Mn |
| Sep 30, 2024 | 63.70 Mn |
| Jun 30, 2024 | 60.40 Mn |
| Mar 31, 2024 | 59.90 Mn |
| Dec 31, 2023 | 58.10 Mn |
| Sep 30, 2023 | 54.20 Mn |
| Jun 30, 2023 | 52.50 Mn |
| Mar 31, 2023 | 51.50 Mn |
| Dec 31, 2022 | 53.30 Mn |
| Sep 30, 2022 | 55.40 Mn |
| Jun 30, 2022 | 60.60 Mn |
| Mar 31, 2022 | 57.10 Mn |
| Dec 31, 2021 | 57.10 Mn |
| Sep 30, 2021 | 62.00 Mn |
Mueller Water Products Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=MWA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "MWA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=MWA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();