Xylem (XYL) Operating Expenses (2010 - 2026)
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Analysis
Xylem (XYL) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 1.18 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 610.00 Mn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 522.00 Mn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 51.11 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 13.88 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 13.99 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 5.04 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 18.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 522.00 Mn |
| Jun 30, 2026 | 573.00 Mn |
| Mar 31, 2026 | 559.00 Mn |
| Dec 31, 2025 | 579.00 Mn |
| Sep 30, 2025 | 549.00 Mn |
| Jun 30, 2025 | 587.00 Mn |
| Mar 31, 2025 | 537.00 Mn |
| Dec 31, 2024 | 590.00 Mn |
| Sep 30, 2024 | 504.00 Mn |
| Jun 30, 2024 | 566.00 Mn |
| Mar 31, 2024 | 543.00 Mn |
| Dec 31, 2023 | 545.00 Mn |
| Sep 30, 2023 | 573.00 Mn |
| Jun 30, 2023 | 532.00 Mn |
| Mar 31, 2023 | 415.00 Mn |
| Dec 31, 2022 | 376.00 Mn |
| Sep 30, 2022 | 356.00 Mn |
| Jun 30, 2022 | 374.00 Mn |
| Mar 31, 2022 | 356.00 Mn |
| Dec 31, 2021 | 353.00 Mn |
API Access
Xylem Operating Expenses 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=operating-expenses&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();