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 | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Mueller Water Products | 3.35 Bn | 1.54 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();