Watts Water Technologies (WTS) Retained Earnings (2009 - 2026)
Watts Water Technologies (WTS) posted Retained Earnings of $1.59 billion for Q2 2026, up 21.4% from $1.31 billion a year earlier and up 6.2% from the prior quarter.
Watts Water Technologies (WTS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Watts Water Technologies' Retained Earnings came in at $1.43 billion, up 20.8% from FY2024.
- Annual Retained Earnings has increased for ten consecutive years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In prior years, Watts Water Technologies' Retained Earnings was $1.18 billion in FY2024 (+21.0%), $979.1 million in FY2023 (+23.1%), $795.3 million in FY2022 (+19.4%) and $665.9 million in FY2021 (+18.9%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 39 quarters, with growth averaging 20.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 12.9% in Q1 2022 to 27.8% in Q2 2023.
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.5 billion (Q1 2026), $1.43 billion (Q4 2025) and $1.37 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 70.14 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.64 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 24.49 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.87 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 41.58 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 38.63 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 30.81 Bn |
| 10 | Watts Water Technologies | 11.83 Bn | 10.25 Bn | 374.10 Mn | 1.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.59 Bn |
| Mar 29, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.43 Bn |
| Sep 28, 2025 | 1.37 Bn |
| Jun 29, 2025 | 1.31 Bn |
| Mar 30, 2025 | 1.23 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 29, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.02 Bn |
| Dec 31, 2023 | 979.10 Mn |
| Sep 24, 2023 | 939.80 Mn |
| Jun 25, 2023 | 890.30 Mn |
| Mar 26, 2023 | 831.60 Mn |
| Dec 31, 2022 | 795.30 Mn |
| Sep 25, 2022 | 741.40 Mn |
| Jun 26, 2022 | 696.80 Mn |
| Mar 27, 2022 | 655.90 Mn |
| Dec 31, 2021 | 665.90 Mn |
| Sep 26, 2021 | 638.80 Mn |
Watts Water Technologies Retained Earnings 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=retained-earnings&ticker=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();