Xylem (XYL) Cash & Equivalents (2010 - 2026)
Xylem (XYL) posted Cash & Equivalents of $1.28 billion for Q2 2026, up 9.1% from $1.17 billion a year earlier and up 57.9% from the prior quarter.
Analysis
Xylem (XYL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Xylem's Cash & Equivalents came in at $1.48 billion, up 31.9% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, though with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior years, Xylem's Cash & Equivalents was $1.12 billion in FY2024 (+10.0%), $1.02 billion in FY2023 (+7.9%), $944 million in FY2022 (-30.0%) and $1.35 billion in FY2021 (-28.1%).
- Quarterly Cash & Equivalents has run from a low of $705 million in Q3 2023 to a high of $1.48 billion in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 17.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 43.6%; the weakest was Q3 2023, with a decline of 40.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $808 million (Q1 2026), $1.48 billion (Q4 2025) and $1.19 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 5.14 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 1.28 Bn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 2.12 Bn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 95.73 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 61.10 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 19.32 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 61.44 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 5.32 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | 41.42 Mn |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | 44.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 808.00 Mn |
| Dec 31, 2025 | 1.48 Bn |
| Sep 30, 2025 | 1.19 Bn |
| Jun 30, 2025 | 1.17 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 989.00 Mn |
| Jun 30, 2024 | 815.00 Mn |
| Mar 31, 2024 | 947.00 Mn |
| Dec 31, 2023 | 1.02 Bn |
| Sep 30, 2023 | 705.00 Mn |
| Jun 30, 2023 | 708.00 Mn |
| Mar 31, 2023 | 837.00 Mn |
| Dec 31, 2022 | 944.00 Mn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 1.11 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.26 Bn |
API Access
Xylem Cash & Equivalents 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=cash-and-equivalents&ticker=XYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();