Watts Water Technologies (WTS) Non-Current Assets (2009 - 2026)
Watts Water Technologies' Non-Current Assets came in at $1.59 billion for Q2 2026, up 10.8% from $1.43 billion a year earlier but down 0.4% from the prior quarter.
Watts Water Technologies (WTS) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Watts Water Technologies' Non-Current Assets was $1.6 billion, up 21.4% from FY2024.
- Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $1.31 billion in FY2024 (+5.2%), $1.25 billion in FY2023 (+27.3%), $980.3 million in FY2022 (-1.4%) and $994.1 million in FY2021 (-3.4%).
- The five-year range for quarterly Non-Current Assets is $948.8 million (Q3 2022) to $1.6 billion (Q4 2025).
- Year-over-year, Non-Current Assets has increased for 14 consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2023 (growth of 33.6%), and the weakest in Q3 2022 (a decline of 5.1%).
- Business Quant data shows WTS's Non-Current Assets at $1.59 billion (Q1 2026), $1.6 billion (Q4 2025) and $1.41 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 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 | 1.59 Bn |
| Dec 31, 2025 | 1.60 Bn |
| Sep 28, 2025 | 1.41 Bn |
| Jun 29, 2025 | 1.43 Bn |
| Mar 30, 2025 | 1.39 Bn |
| Dec 31, 2024 | 1.31 Bn |
| Sep 29, 2024 | 1.33 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 24, 2023 | 1.27 Bn |
| Jun 25, 2023 | 1.29 Bn |
| Mar 26, 2023 | 1.30 Bn |
| Dec 31, 2022 | 980.30 Mn |
| Sep 25, 2022 | 948.80 Mn |
| Jun 26, 2022 | 966.60 Mn |
| Mar 27, 2022 | 983.40 Mn |
| Dec 31, 2021 | 994.10 Mn |
| Sep 26, 2021 | 1.00 Bn |
Watts Water Technologies Non-Current Assets 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=non-current-assets&ticker=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();