Watts Water Technologies (WTS) Operating Expenses (2009 - 2026)
Watts Water Technologies' Operating Expenses was $220.1 million in Q2 2026, up 15.5% from $190.6 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Watts Water Technologies (WTS) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Watts Water Technologies' Operating Expenses was $795.8 million through Jun 28, 2026, up 13.2% year-over-year; for FY2025, it was $757.9 million, up 12.8% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $671.6 million in FY2024 (+10.1%), $610 million in FY2023 (+9.1%), $559.3 million in FY2022 (+6.0%) and $527.5 million in FY2021 (+18.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 9.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2024 (growth of 28.0%); the worst was Q4 2024 (a decline of 7.5%).
- Per Business Quant data, WTS's Operating Expenses in the three quarters before Q2 2026 was $193.1 million (Q1 2026), $195.6 million (Q4 2025) and $187 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Watts Water Technologies | 11.83 Bn | 10.25 Bn | 374.10 Mn | 220.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 220.10 Mn |
| Mar 29, 2026 | 193.10 Mn |
| Dec 31, 2025 | 195.60 Mn |
| Sep 28, 2025 | 187.00 Mn |
| Jun 29, 2025 | 190.60 Mn |
| Mar 30, 2025 | 184.80 Mn |
| Dec 31, 2024 | 163.60 Mn |
| Sep 29, 2024 | 163.90 Mn |
| Jun 30, 2024 | 173.30 Mn |
| Mar 31, 2024 | 170.80 Mn |
| Dec 31, 2023 | 176.90 Mn |
| Sep 24, 2023 | 147.30 Mn |
| Jun 25, 2023 | 152.40 Mn |
| Mar 26, 2023 | 133.40 Mn |
| Dec 31, 2022 | 151.40 Mn |
| Sep 25, 2022 | 137.50 Mn |
| Jun 26, 2022 | 143.30 Mn |
| Mar 27, 2022 | 127.10 Mn |
| Dec 31, 2021 | 136.70 Mn |
| Sep 26, 2021 | 129.30 Mn |
API Access
Watts Water Technologies 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=WTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WTS", "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=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();