Watts Water Technologies (WTS) Total Liabilities (2009 - 2026)
Watts Water Technologies (WTS) reported Total Liabilities of $762.1 million for Q2 2026, up 1.3% from $752.5 million a year earlier but down 9.7% from the prior quarter.
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Analysis
Watts Water Technologies (WTS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Watts Water Technologies posted Total Liabilities of $853.5 million, up 23.9% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $689.1 million in FY2024 (-13.4%), $796.1 million in FY2023 (+26.3%), $630.3 million in FY2022 (-7.6%) and $682.4 million in FY2021 (+2.1%).
- Five-year quarterly Total Liabilities spans a low of $630.3 million in Q4 2022 and a high of $963.6 million in Q1 2023.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 1.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2023 (growth of 30.1%); the low point was Q1 2024 (a decline of 19.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $843.5 million (Q1 2026), $853.5 million (Q4 2025) and $768.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Watts Water Technologies | 11.83 Bn | 10.25 Bn | 374.10 Mn | 762.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 762.10 Mn |
| Mar 29, 2026 | 843.50 Mn |
| Dec 31, 2025 | 853.50 Mn |
| Sep 28, 2025 | 768.60 Mn |
| Jun 29, 2025 | 752.50 Mn |
| Mar 30, 2025 | 728.50 Mn |
| Dec 31, 2024 | 689.10 Mn |
| Sep 29, 2024 | 710.00 Mn |
| Jun 30, 2024 | 765.10 Mn |
| Mar 31, 2024 | 780.60 Mn |
| Dec 31, 2023 | 796.10 Mn |
| Sep 24, 2023 | 857.40 Mn |
| Jun 25, 2023 | 895.10 Mn |
| Mar 26, 2023 | 963.60 Mn |
| Dec 31, 2022 | 630.30 Mn |
| Sep 25, 2022 | 677.90 Mn |
| Jun 26, 2022 | 747.80 Mn |
| Mar 27, 2022 | 740.80 Mn |
| Dec 31, 2021 | 682.40 Mn |
| Sep 26, 2021 | 713.10 Mn |
API Access
Watts Water Technologies Total 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-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();