Xylem (XYL) Selling, General & Administrative (2010 - 2026)
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Analysis
Xylem (XYL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 1.18 Bn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 541.00 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 458.00 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 51.11 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 91.24 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 13.88 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 6.71 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | 8.42 Mn |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | 3.82 Mn |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn | 8.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 458.00 Mn |
| Jun 30, 2026 | 503.00 Mn |
| Mar 31, 2026 | 472.00 Mn |
| Dec 31, 2025 | 486.00 Mn |
| Sep 30, 2025 | 474.00 Mn |
| Jun 30, 2025 | 503.00 Mn |
| Mar 31, 2025 | 460.00 Mn |
| Dec 31, 2024 | 507.00 Mn |
| Sep 30, 2024 | 445.00 Mn |
| Jun 30, 2024 | 485.00 Mn |
| Mar 31, 2024 | 474.00 Mn |
| Dec 31, 2023 | 466.00 Mn |
| Sep 30, 2023 | 491.00 Mn |
| Jun 30, 2023 | 446.00 Mn |
| Mar 31, 2023 | 354.00 Mn |
| Dec 31, 2022 | 315.00 Mn |
| Sep 30, 2022 | 294.00 Mn |
| Jun 30, 2022 | 314.00 Mn |
| Mar 31, 2022 | 304.00 Mn |
| Dec 31, 2021 | 301.00 Mn |
API Access
Xylem Selling, General & Administrative 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=selling-general-and-administrative&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();