Xylem (XYL) Tax Provisions (2010 - 2026)
Xylem (XYL) reported Tax Provisions of $77 million for Q3 2026, up 8.5% from $71 million a year earlier but down 25.2% from the prior quarter.
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Analysis
Xylem (XYL) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Xylem's Tax Provisions came in at $270 million, up 10.2% year-over-year; for FY2025, it came in at $231 million, up 17.3% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 49.4% (FY2020 to FY2025).
- By year, Tax Provisions came in at $197 million in FY2024 (+657.7%), $26 million in FY2023 (-69.4%), $85 million in FY2022 (+1.2%) and $84 million in FY2021 (+171.0%).
- Five-year quarterly Tax Provisions spans a low of -$56 million in Q4 2023 and a high of $103 million in Q2 2026.
- Year over year, Tax Provisions has now increased in each of the last three quarters, with growth averaging 17.4% over the last seven quarters.
- The high point for year-over-year Tax Provisions in five years was Q3 2023 (growth of 560.0%); the low point was Q3 2022 (a decline of 73.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $103 million (Q2 2026), $55 million (Q1 2026) and $35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 140.10 Mn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 20.00 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 77.00 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 12.06 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | -1.02 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 5.74 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | -2.87 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | -4,000.00 |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | -2.92 Mn |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.00 Mn |
| Jun 30, 2026 | 103.00 Mn |
| Mar 31, 2026 | 55.00 Mn |
| Dec 31, 2025 | 35.00 Mn |
| Sep 30, 2025 | 71.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 50.00 Mn |
| Dec 31, 2024 | 49.00 Mn |
| Sep 30, 2024 | 52.00 Mn |
| Jun 30, 2024 | 53.00 Mn |
| Mar 31, 2024 | 43.00 Mn |
| Dec 31, 2023 | -56.00 Mn |
| Sep 30, 2023 | 33.00 Mn |
| Jun 30, 2023 | 22.00 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | 40.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 24.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 13.00 Mn |
API Access
Xylem Tax Provisions 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=tax-provisions&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();