Xylem (XYL) Short-Term Debt repayments (2015 - 2020)
Xylem's Short-Term Debt repayments came in at $268 million for FY2024.
Analysis
Xylem (XYL) Short-Term Debt repayments (2015 - 2020) Analysis & Trends
Going back to FY2015, Xylem's Short-Term Debt repayments data covers 7 years.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 1.1% (FY2019 to FY2024).
- The FY2024 figure represents the highest annual Short-Term Debt repayments since FY2020.
- Per Business Quant, earlier years put Short-Term Debt repayments at $640 million in FY2020 (+152.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 81.89 Bn | 73.63 Bn | 1.95 Bn | - |
| 2 | Xylem | 25.61 Bn | 20.85 Bn | 963.00 Mn | - |
| 3 | Veralto | 25.45 Bn | 18.10 Bn | 902.00 Mn | - |
| 4 | Badger Meter | 4.24 Bn | 3.51 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 2.31 Bn | 2.14 Bn | 86.47 Mn | - |
| 6 | NWPX Infrastructure | 933.44 Mn | 894.91 Mn | 34.36 Mn | - |
| 7 | Energy Recovery | 345.57 Mn | 20.74 Mn | 8.96 Mn | - |
| 8 | Cadiz | 337.43 Mn | 305.88 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 210.60 Mn | 90.23 Mn | - | - |
| 10 | LanzaTech Global | 58.07 Mn | -57.07 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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_KEY
import 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();