Xylem (XYL) Selling, General & Administrative (2010 - 2026)
Xylem's Selling, General & Administrative came in at $503 million for Q2 2026, unchanged from $503 million a year earlier and up 6.6% from the prior quarter.
Xylem (XYL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xylem reported Selling, General & Administrative of $1.94 billion, up 1.0% year-over-year; for FY2025, it came in at $1.92 billion, up 0.6% from FY2024.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $1.91 billion in FY2024 (+8.8%), $1.76 billion in FY2023 (+43.2%), $1.23 billion in FY2022 (+4.1%) and $1.18 billion in FY2021 (+3.1%).
- The five-year range for quarterly Selling, General & Administrative is $273 million (Q3 2021) to $507 million (Q4 2024).
- Year-over-year, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2023 (growth of 67.0%), and the weakest in Q3 2024 (a decline of 9.4%).
- Business Quant data shows XYL's Selling, General & Administrative at $472 million (Q1 2026), $486 million (Q4 2025) and $474 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 503.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 514.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 63.89 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 6.80 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 8.42 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | 3.82 Mn |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | 8.75 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 273.00 Mn |
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_KEY
import 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();