Watts Water Technologies (WTS) Tax Provisions (2009 - 2026)
Watts Water Technologies (WTS) recorded Tax Provisions of $35.4 million in Q2 2026, up 4.7% from $33.8 million a year earlier and up 11.3% from the prior quarter.
Watts Water Technologies (WTS) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Watts Water Technologies' Tax Provisions came in at $125.5 million as of Jun 28, 2026, up 37.5% year-over-year; for FY2025, it was $105 million, up 10.8% from FY2024.
- Annual Tax Provisions has increased for three straight years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $94.8 million in FY2024 (+8.5%), $87.4 million in FY2023 (+55.8%), $56.1 million in FY2022 (-18.0%) and $68.4 million in FY2021 (+29.8%).
- The Q2 2026 figure is the highest quarterly Tax Provisions in data going back to Q2 2009.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 24.5% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 146.5% in Q1 2026, against a decline of 42.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.8 million (Q1 2026), $29.5 million (Q4 2025) and $28.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 198.00 Mn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 261.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 122.20 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Watts Water Technologies | 12.15 Bn | 10.56 Bn | 374.10 Mn | 35.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 35.40 Mn |
| Mar 29, 2026 | 31.80 Mn |
| Dec 31, 2025 | 29.50 Mn |
| Sep 28, 2025 | 28.80 Mn |
| Jun 29, 2025 | 33.80 Mn |
| Mar 30, 2025 | 12.90 Mn |
| Dec 31, 2024 | 21.40 Mn |
| Sep 29, 2024 | 23.20 Mn |
| Jun 30, 2024 | 27.50 Mn |
| Mar 31, 2024 | 22.60 Mn |
| Dec 31, 2023 | 21.60 Mn |
| Sep 24, 2023 | 22.30 Mn |
| Jun 25, 2023 | 24.70 Mn |
| Mar 26, 2023 | 18.80 Mn |
| Dec 31, 2022 | -3.90 Mn |
| Sep 25, 2022 | 20.10 Mn |
| Jun 26, 2022 | 24.50 Mn |
| Mar 27, 2022 | 15.40 Mn |
| Dec 31, 2021 | 20.90 Mn |
| Sep 26, 2021 | 17.10 Mn |
Watts Water Technologies Tax Provisions 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=tax-provisions&ticker=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();