Watts Water Technologies (WTS) Total Non-Current Liabilities (2009 - 2026)
Watts Water Technologies' Total Non-Current Liabilities came in at $658.3 million for Q2 2026, down 2.8% from $677.2 million a year earlier and down 10.6% from the prior quarter.
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Analysis
Watts Water Technologies (WTS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Watts Water Technologies' Total Non-Current Liabilities was $746.6 million, up 19.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $625.8 million in FY2024 (-12.8%), $717.6 million in FY2023 (+29.9%), $552.5 million in FY2022 (-6.5%) and $590.9 million in FY2021 (+5.1%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 0.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 36.0%), and the weakest in Q1 2024 (a decline of 20.9%).
- Business Quant data shows WTS's Total Non-Current Liabilities at $736.3 million (Q1 2026), $746.6 million (Q4 2025) and $688.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Watts Water Technologies | 11.83 Bn | 10.25 Bn | 374.10 Mn | 658.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 658.30 Mn |
| Mar 29, 2026 | 736.30 Mn |
| Dec 31, 2025 | 746.60 Mn |
| Sep 28, 2025 | 688.10 Mn |
| Jun 29, 2025 | 677.20 Mn |
| Mar 30, 2025 | 657.60 Mn |
| Dec 31, 2024 | 625.80 Mn |
| Sep 29, 2024 | 640.90 Mn |
| Jun 30, 2024 | 696.10 Mn |
| Mar 31, 2024 | 703.40 Mn |
| Dec 31, 2023 | 717.60 Mn |
| Sep 24, 2023 | 781.60 Mn |
| Jun 25, 2023 | 825.30 Mn |
| Mar 26, 2023 | 889.10 Mn |
| Dec 31, 2022 | 552.50 Mn |
| Sep 25, 2022 | 594.70 Mn |
| Jun 26, 2022 | 662.50 Mn |
| Mar 27, 2022 | 653.70 Mn |
| Dec 31, 2021 | 590.90 Mn |
| Sep 26, 2021 | 614.70 Mn |
API Access
Watts Water Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();