Watts Water Technologies (WTS) Long-Term Debt Repayments (2009 - 2026)
Watts Water Technologies' Long-Term Debt Repayments was $15 million in Q4 2024, up 50.0% from $10 million a year earlier but down 66.7% from the prior quarter.
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Analysis
Watts Water Technologies (WTS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2024, Long-Term Debt Repayments at Watts Water Technologies came in at $100 million, up 11.1% from FY2023.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -4.7% (FY2019 to FY2024).
- In earlier years, Long-Term Debt Repayments was $90 million in FY2023 (+12.5%), $80 million in FY2022 (-15.8%), $95 million in FY2021 (-81.6%) and $517.5 million in FY2020 (+307.5%).
- Quarterly Long-Term Debt Repayments has moved between $10 million (Q4 2023) and $50 million (Q2 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last four quarters, with an average decline of 30.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2021 (growth of 166.7%); the worst was Q4 2023 (a decline of 71.4%).
- Per Business Quant data, WTS's Long-Term Debt Repayments in the three quarters before Q4 2024 was $45 million (Q3 2024), $25 million (Q2 2024) and $15 million (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Watts Water Technologies | 12.15 Bn | 10.56 Bn | 374.10 Mn | 90.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 90.70 Mn |
| Mar 29, 2026 | 700,000.00 |
| Dec 31, 2025 | 700,000.00 |
| Sep 28, 2025 | 600,000.00 |
| Jun 29, 2025 | 600,000.00 |
| Mar 30, 2025 | 700,000.00 |
| Dec 31, 2024 | 15.70 Mn |
| Sep 29, 2024 | 45.70 Mn |
| Jun 30, 2024 | 25.60 Mn |
| Mar 31, 2024 | 15.70 Mn |
| Dec 31, 2023 | 10.80 Mn |
| Sep 24, 2023 | 600,000.00 |
| Jun 25, 2023 | 50.70 Mn |
| Mar 26, 2023 | 30.70 Mn |
| Dec 31, 2022 | 38.30 Mn |
| Sep 25, 2022 | 30.80 Mn |
| Jun 26, 2022 | 15.40 Mn |
| Mar 27, 2022 | 200,000.00 |
| Dec 31, 2021 | 15.40 Mn |
| Sep 26, 2021 | 40.40 Mn |
API Access
Watts Water Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();