Xylem (XYL) Short-Term Debt repayments (2015 - 2025)
Xylem's Short-Term Debt repayments came in at -$7 million for Q4 2025.
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Analysis
Xylem (XYL) Short-Term Debt repayments (2015 - 2025) Analysis & Trends
For FY2024, Xylem's Short-Term Debt repayments was $268 million.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 1.1% (FY2019 to FY2024).
- Going back by year, Short-Term Debt repayments was $640 million in FY2020 (+152.0%).
- The Q4 2025 figure represents the lowest quarterly Short-Term Debt repayments in data going back to Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | - |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | - |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | - |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | - |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | - |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 11.52 Mn |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | - |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | - |
| 10 | LanzaTech Global | 55.76 Mn | -41.87 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -7.00 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Dec 31, 2020 | 40.00 Mn |
| Sep 30, 2020 | 178.00 Mn |
| Jun 30, 2020 | 419.00 Mn |
| Mar 31, 2020 | 3.00 Mn |
| Sep 30, 2019 | 141.00 Mn |
| Jun 30, 2019 | 113.00 Mn |
| Dec 31, 2018 | 2.00 Mn |
| Sep 30, 2018 | -4.00 Mn |
| Jun 30, 2018 | 54.00 Mn |
| Dec 31, 2017 | 98.00 Mn |
| Sep 30, 2017 | 119.00 Mn |
| Jun 30, 2017 | 60.00 Mn |
| Mar 31, 2017 | 5.00 Mn |
| Sep 30, 2016 | 3.00 Mn |
| Jun 30, 2016 | 77.00 Mn |
| Sep 30, 2015 | 1.00 Mn |
API Access
Xylem Short-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=short-term-debt-repayments&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "XYL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();