Mueller Water Products (MWA) Total Liabilities (2010 - 2026)
Mueller Water Products (MWA) posted Total Liabilities of $832.9 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.9% from $801.4 million a year earlier and up 2.3% from the prior quarter.
Mueller Water Products (MWA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mueller Water Products' Total Liabilities came in at $857.2 million, up 3.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior fiscal years, Mueller Water Products' Total Liabilities was $825.8 million in FY2024 (+4.1%), $793.5 million in FY2023 (-4.3%), $828.8 million in FY2022 (+0.7%) and $823.1 million in FY2021 (+9.1%).
- Quarterly Total Liabilities has run from a low of $776.2 million in fiscal Q2 2023 to a high of $857.2 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2021, with growth of 9.1%; the weakest was fiscal Q4 2023, with a decline of 4.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $814 million (Q2 2026), $828.6 million (Q1 2026) and $857.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Mueller Water Products | 3.77 Bn | 1.96 Bn | 155.80 Mn | 832.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 832.90 Mn |
| Mar 31, 2026 | 814.00 Mn |
| Dec 31, 2025 | 828.60 Mn |
| Sep 30, 2025 | 857.20 Mn |
| Jun 30, 2025 | 801.40 Mn |
| Mar 31, 2025 | 797.00 Mn |
| Dec 31, 2024 | 785.10 Mn |
| Sep 30, 2024 | 825.80 Mn |
| Jun 30, 2024 | 777.00 Mn |
| Mar 31, 2024 | 784.90 Mn |
| Dec 31, 2023 | 797.60 Mn |
| Sep 30, 2023 | 793.50 Mn |
| Jun 30, 2023 | 779.10 Mn |
| Mar 31, 2023 | 776.20 Mn |
| Dec 31, 2022 | 798.80 Mn |
| Sep 30, 2022 | 828.80 Mn |
| Jun 30, 2022 | 805.80 Mn |
| Mar 31, 2022 | 805.40 Mn |
| Dec 31, 2021 | 801.60 Mn |
| Sep 30, 2021 | 823.10 Mn |
Mueller Water Products Total 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=total-liabilities&ticker=MWA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=MWA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();