Watts Water Technologies (WTS) Total Current Liabilities (2009 - 2026)
Watts Water Technologies' Total Current Liabilities came in at $513.3 million for Q2 2026, up 9.6% from $468.4 million a year earlier and up 3.5% from the prior quarter.
Watts Water Technologies (WTS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Watts Water Technologies' Total Current Liabilities was $512.4 million, up 22.6% from FY2024.
- Total Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $417.9 million in FY2024 (+3.0%), $405.8 million in FY2023 (+7.2%), $378.7 million in FY2022 (-7.3%) and $408.5 million in FY2021 (+30.6%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q3 2015.
- Year-over-year, Total Current Liabilities has increased for 12 consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 41.5%), and the weakest in Q3 2022 (a decline of 9.4%).
- Business Quant data shows WTS's Total Current Liabilities at $496 million (Q1 2026), $512.4 million (Q4 2025) and $463.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Watts Water Technologies | 11.83 Bn | 10.25 Bn | 374.10 Mn | 513.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 513.30 Mn |
| Mar 29, 2026 | 496.00 Mn |
| Dec 31, 2025 | 512.40 Mn |
| Sep 28, 2025 | 463.90 Mn |
| Jun 29, 2025 | 468.40 Mn |
| Mar 30, 2025 | 449.50 Mn |
| Dec 31, 2024 | 417.90 Mn |
| Sep 29, 2024 | 417.50 Mn |
| Jun 30, 2024 | 424.60 Mn |
| Mar 31, 2024 | 407.30 Mn |
| Dec 31, 2023 | 405.80 Mn |
| Sep 24, 2023 | 380.30 Mn |
| Jun 25, 2023 | 404.80 Mn |
| Mar 26, 2023 | 396.20 Mn |
| Dec 31, 2022 | 378.70 Mn |
| Sep 25, 2022 | 378.50 Mn |
| Jun 26, 2022 | 421.10 Mn |
| Mar 27, 2022 | 404.80 Mn |
| Dec 31, 2021 | 408.50 Mn |
| Sep 26, 2021 | 417.80 Mn |
Watts Water Technologies Total 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-current-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();