Xylem (XYL) Long-Term Debt Repayments (2011 - 2026)
Xylem's Long-Term Debt Repayments came in at $4 million for Q3 2026, down 87.5% from $32 million a year earlier but up 100.0% from the prior quarter.
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Analysis
Xylem (XYL) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Xylem reported Long-Term Debt Repayments of $32 million, down 50.0% year-over-year; for FY2025, it was $82 million, up 382.4% from FY2024.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of -39.2% (FY2021 to FY2025).
- Going back by year, Long-Term Debt Repayments was $17 million in FY2024 (-89.4%), $160 million in FY2023 (-69.6%), $527 million in FY2022 (-12.2%) and $600 million in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is $1 million (Q2 2023) to $527 million (Q4 2022).
- Year-over-year, Long-Term Debt Repayments increased in three of the last eight quarters, with growth averaging 178.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2025 (growth of 700.0%), and the weakest in Q4 2023 (a decline of 99.1%).
- Business Quant data shows XYL's Long-Term Debt Repayments at $2 million (Q2 2026), $4 million (Q1 2026) and $22 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.42 Bn | 78.42 Bn | 2.07 Bn | - |
| 2 | Veralto | 28.70 Bn | 21.33 Bn | 908.00 Mn | - |
| 3 | Xylem | 21.57 Bn | 17.54 Bn | 907.00 Mn | 4.00 Mn |
| 4 | Badger Meter | 4.38 Bn | 3.79 Bn | 98.85 Mn | - |
| 5 | Ceco Environmental | 3.28 Bn | 3.08 Bn | 130.10 Mn | 3.42 Mn |
| 6 | NWPX Infrastructure | 879.18 Mn | 837.26 Mn | 38.19 Mn | 1.29 Mn |
| 7 | Energy Recovery | 362.33 Mn | 24.78 Mn | 4.20 Mn | - |
| 8 | Cadiz | 279.42 Mn | 244.53 Mn | -24,000.00 | 22,000.00 |
| 9 | AirJoule Technologies | 147.14 Mn | 26.77 Mn | - | - |
| 10 | LanzaTech Global | 51.44 Mn | -46.19 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.00 Mn |
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 22.00 Mn |
| Sep 30, 2025 | 32.00 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | 154.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Dec 31, 2022 | 527.00 Mn |
| Dec 31, 2012 | 8.00 Mn |
| Sep 30, 2012 | 3.00 Mn |
| Mar 31, 2012 | 3.00 Mn |
| Dec 31, 2011 | 8.00 Mn |
API Access
Xylem 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=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-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=long-term-debt-repayments&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();