Xylem (XYL) Total Liabilities (2010 - 2026)
Xylem (XYL) recorded Total Liabilities of $6.92 billion in Q2 2026, up 13.2% from $6.11 billion a year earlier and up 15.8% from the prior quarter.
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Analysis
Xylem (XYL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Xylem reported Total Liabilities of $6.14 billion, up 5.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $5.85 billion in FY2024 (-1.5%), $5.94 billion in FY2023 (+33.4%), $4.45 billion in FY2022 (-11.9%) and $5.05 billion in FY2021 (-12.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for six consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 33.4% in Q4 2023, against a decline of 13.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.97 billion (Q1 2026), $6.14 billion (Q4 2025) and $6.08 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 19.84 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 6.92 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 5.46 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 315.29 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 1.65 Bn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 233.30 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 25.26 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 130.10 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 58.20 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 62.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.92 Bn |
| Mar 31, 2026 | 5.97 Bn |
| Dec 31, 2025 | 6.14 Bn |
| Sep 30, 2025 | 6.08 Bn |
| Jun 30, 2025 | 6.11 Bn |
| Mar 31, 2025 | 5.74 Bn |
| Dec 31, 2024 | 5.85 Bn |
| Sep 30, 2024 | 5.45 Bn |
| Jun 30, 2024 | 5.42 Bn |
| Mar 31, 2024 | 5.72 Bn |
| Dec 31, 2023 | 5.94 Bn |
| Sep 30, 2023 | 5.96 Bn |
| Jun 30, 2023 | 6.19 Bn |
| Mar 31, 2023 | 4.35 Bn |
| Dec 31, 2022 | 4.45 Bn |
| Sep 30, 2022 | 4.52 Bn |
| Jun 30, 2022 | 4.99 Bn |
| Mar 31, 2022 | 5.01 Bn |
| Dec 31, 2021 | 5.05 Bn |
| Sep 30, 2021 | 4.95 Bn |
API Access
Xylem Total Liabilities 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=total-liabilities&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();