Xylem (XYL) Total Current Liabilities (2010 - 2026)
Xylem (XYL) recorded Total Current Liabilities of $2.84 billion in Q3 2026, up 25.3% from $2.27 billion a year earlier and up 4.3% from the prior quarter.
Xylem (XYL) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Xylem reported Total Current Liabilities of $2.86 billion, up 22.3% from FY2024.
- Annual Total Current Liabilities has increased for four straight years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $2.34 billion in FY2024 (+5.9%), $2.21 billion in FY2023 (+38.7%), $1.59 billion in FY2022 (+14.3%) and $1.39 billion in FY2021 (-28.9%).
- Quarterly Total Current Liabilities has ranged from $1.39 billion in Q4 2021 to $2.86 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 56.0% in Q1 2024, against a decline of 28.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.72 billion (Q2 2026), $2.76 billion (Q1 2026) and $2.86 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 6.38 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 1.64 Bn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 2.84 Bn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 148.30 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 652.29 Mn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 123.73 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 19.89 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 9.86 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 2.19 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 27.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.84 Bn |
| Jun 30, 2026 | 2.72 Bn |
| Mar 31, 2026 | 2.76 Bn |
| Dec 31, 2025 | 2.86 Bn |
| Sep 30, 2025 | 2.27 Bn |
| Jun 30, 2025 | 2.30 Bn |
| Mar 31, 2025 | 2.17 Bn |
| Dec 31, 2024 | 2.34 Bn |
| Sep 30, 2024 | 2.05 Bn |
| Jun 30, 2024 | 2.04 Bn |
| Mar 31, 2024 | 2.33 Bn |
| Dec 31, 2023 | 2.21 Bn |
| Sep 30, 2023 | 2.12 Bn |
| Jun 30, 2023 | 2.28 Bn |
| Mar 31, 2023 | 1.49 Bn |
| Dec 31, 2022 | 1.59 Bn |
| Sep 30, 2022 | 1.93 Bn |
| Jun 30, 2022 | 1.95 Bn |
| Mar 31, 2022 | 1.92 Bn |
| Dec 31, 2021 | 1.39 Bn |
Xylem Total Current 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-current-liabilities&ticker=XYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();