Xylem (XYL) Current Debt (2012 - 2025)
Xylem (XYL) posted Current Debt of $40 million for Q1 2016.
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Analysis
Xylem (XYL) Current Debt (2012 - 2025) Analysis & Trends
For the trailing twelve months through Mar 31, 2016, Current Debt at Xylem was $37 million; for FY2015, it was -$3 million.
- In prior years, Xylem's Current Debt was $52 million in FY2014 (+33.3%) and $39 million in FY2013.
- The Q1 2016 figure stands as the highest quarterly Current Debt since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 80.74 Bn | 72.48 Bn | 1.95 Bn | -299.80 Mn |
| 2 | Veralto | 24.85 Bn | 17.49 Bn | 902.00 Mn | - |
| 3 | Xylem | 24.79 Bn | 20.03 Bn | 963.00 Mn | - |
| 4 | Badger Meter | 3.74 Bn | 3.01 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 2.47 Bn | 2.30 Bn | 86.47 Mn | -81.80 Mn |
| 6 | NWPX Infrastructure | 941.73 Mn | 903.20 Mn | 34.36 Mn | - |
| 7 | Energy Recovery | 342.74 Mn | 17.91 Mn | 8.96 Mn | - |
| 8 | Cadiz | 334.91 Mn | 303.35 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 213.04 Mn | 92.67 Mn | - | - |
| 10 | LanzaTech Global | 58.89 Mn | -56.25 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -3.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2023 | -1.00 Mn |
| Sep 30, 2023 | -73.00 Mn |
| Dec 31, 2020 | -40.00 Mn |
| Sep 30, 2020 | -178.00 Mn |
| Jun 30, 2020 | -253.00 Mn |
| Mar 31, 2020 | 190.00 Mn |
| Dec 31, 2019 | -36.00 Mn |
| Sep 30, 2019 | -81.00 Mn |
| Jun 30, 2019 | 94.00 Mn |
| Mar 31, 2019 | 50.00 Mn |
| Dec 31, 2018 | -77.00 Mn |
| Sep 30, 2018 | -23.00 Mn |
| Jun 30, 2018 | 12.00 Mn |
| Mar 31, 2018 | 371.00 Mn |
| Dec 31, 2017 | -98.00 Mn |
| Sep 30, 2017 | -152.00 Mn |
| Jun 30, 2017 | -27.00 Mn |
API Access
Xylem Current Debt 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=current-debt&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();