Watts Water Technologies (WTS) Other Non-Current Liabilities (2009 - 2026)
Watts Water Technologies (WTS) recorded Other Non-Current Liabilities of $103.8 million in Q2 2026, up 37.8% from $75.3 million a year earlier but down 3.2% from the prior quarter.
Watts Water Technologies (WTS) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Watts Water Technologies reported Other Non-Current Liabilities of $106.9 million, up 68.9% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $63.3 million in FY2024 (-19.4%), $78.5 million in FY2023 (+0.9%), $77.8 million in FY2022 (-15.0%) and $91.5 million in FY2021 (-13.9%).
- Quarterly Other Non-Current Liabilities has ranged from $63.3 million in Q4 2024 to $107.2 million in Q1 2026 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 68.9% in Q4 2025, against a decline of 19.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $107.2 million (Q1 2026), $106.9 million (Q4 2025) and $80.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Watts Water Technologies | 11.83 Bn | 10.25 Bn | 374.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 103.80 Mn |
| Mar 29, 2026 | 107.20 Mn |
| Dec 31, 2025 | 106.90 Mn |
| Sep 28, 2025 | 80.50 Mn |
| Jun 29, 2025 | 75.30 Mn |
| Mar 30, 2025 | 70.90 Mn |
| Dec 31, 2024 | 63.30 Mn |
| Sep 29, 2024 | 69.10 Mn |
| Jun 30, 2024 | 69.00 Mn |
| Mar 31, 2024 | 77.20 Mn |
| Dec 31, 2023 | 78.50 Mn |
| Sep 24, 2023 | 75.80 Mn |
| Jun 25, 2023 | 69.80 Mn |
| Mar 26, 2023 | 74.50 Mn |
| Dec 31, 2022 | 77.80 Mn |
| Sep 25, 2022 | 83.20 Mn |
| Jun 26, 2022 | 85.30 Mn |
| Mar 27, 2022 | 87.10 Mn |
| Dec 31, 2021 | 91.50 Mn |
| Sep 26, 2021 | 98.40 Mn |
Watts Water Technologies Other 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=other-non-current-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();