Watts Water Technologies (WTS) EBITDA (2009 - 2026)
Watts Water Technologies (WTS) posted EBITDA of $176.3 million for Q2 2026, up 13.9% from $154.8 million a year earlier and up 13.7% from the prior quarter.
Watts Water Technologies (WTS) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EBITDA at Watts Water Technologies was $597.3 million, up 24.2% year-over-year; for FY2025, it came in at $527.1 million, up 13.5% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In prior years, Watts Water Technologies' EBITDA was $464.6 million in FY2024 (+14.0%), $407.4 million in FY2023 (+11.1%), $366.8 million in FY2022 (+22.9%) and $298.4 million in FY2021 (+22.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2009.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 17.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 61.1%; the weakest was Q1 2025, with a decline of 7.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $155 million (Q1 2026), $134.7 million (Q4 2025) and $131.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Watts Water Technologies | 11.95 Bn | 10.37 Bn | 374.10 Mn | 176.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 176.30 Mn |
| Mar 29, 2026 | 155.00 Mn |
| Dec 31, 2025 | 134.70 Mn |
| Sep 28, 2025 | 131.30 Mn |
| Jun 29, 2025 | 154.80 Mn |
| Mar 30, 2025 | 106.30 Mn |
| Dec 31, 2024 | 107.50 Mn |
| Sep 29, 2024 | 112.30 Mn |
| Jun 30, 2024 | 130.10 Mn |
| Mar 31, 2024 | 114.70 Mn |
| Dec 31, 2023 | 95.40 Mn |
| Sep 24, 2023 | 100.60 Mn |
| Jun 25, 2023 | 113.70 Mn |
| Mar 26, 2023 | 97.70 Mn |
| Dec 31, 2022 | 79.30 Mn |
| Sep 25, 2022 | 93.60 Mn |
| Jun 26, 2022 | 108.90 Mn |
| Mar 27, 2022 | 84.90 Mn |
| Dec 31, 2021 | 76.90 Mn |
| Sep 26, 2021 | 78.60 Mn |
Watts Water Technologies EBITDA 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=ebitda&ticker=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();