Mueller Water Products (MWA) Operating Expenses (2009 - 2026)
Mueller Water Products' Operating Expenses was $75.2 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.4% from $72 million a year earlier and up 17.3% from the prior quarter.
Mueller Water Products (MWA) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mueller Water Products' Operating Expenses was $272.8 million through Jun 30, 2026, up 1.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $256.1 million, down 7.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $277.3 million in FY2024 (+10.0%), $252.1 million in FY2023 (-0.2%), $252.7 million in FY2022 (+11.4%) and $226.8 million in FY2021 (+7.3%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 3.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 29.9%); the worst was fiscal Q4 2025 (a decline of 14.7%).
- Per Business Quant data, MWA's Operating Expenses in the three fiscal quarters before Q3 2026 was $64.1 million (Q2 2026), $63.1 million (Q1 2026) and $70.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Mueller Water Products | 3.35 Bn | 1.54 Bn | 155.80 Mn | 75.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.20 Mn |
| Mar 31, 2026 | 64.10 Mn |
| Dec 31, 2025 | 63.10 Mn |
| Sep 30, 2025 | 70.40 Mn |
| Jun 30, 2025 | 72.00 Mn |
| Mar 31, 2025 | 58.10 Mn |
| Dec 31, 2024 | 55.60 Mn |
| Sep 30, 2024 | 82.50 Mn |
| Jun 30, 2024 | 64.40 Mn |
| Mar 31, 2024 | 66.90 Mn |
| Dec 31, 2023 | 63.50 Mn |
| Sep 30, 2023 | 63.50 Mn |
| Jun 30, 2023 | 64.50 Mn |
| Mar 31, 2023 | 64.90 Mn |
| Dec 31, 2022 | 59.20 Mn |
| Sep 30, 2022 | 74.00 Mn |
| Jun 30, 2022 | 61.40 Mn |
| Mar 31, 2022 | 58.60 Mn |
| Dec 31, 2021 | 58.70 Mn |
| Sep 30, 2021 | 58.50 Mn |
Mueller Water Products Operating Expenses 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=operating-expenses&ticker=MWA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MWA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();