Xylem (XYL) Return on Sales [ROS] (2010 - 2026)
Xylem (XYL) posted Return on Sales [ROS] of 16.70% for Q2 2026, up 3.44 percentage points from 13.26% a year earlier and up 5.21 percentage points from the prior quarter.
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Analysis
Xylem (XYL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Xylem was 14.48%, up 2.07 percentage points year-over-year; for FY2025, it came in at 13.54%, up 1.75 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +6.01 percentage points (FY2020 to FY2025).
- In prior years, Xylem's Return on Sales [ROS] was 11.78% in FY2024 (+2.93 pp), 8.85% in FY2023 (-2.41 pp), 11.26% in FY2022 (unchanged) and 11.26% in FY2021 (+3.73 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q3 2010.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last ten quarters, with an average year-over-year change of +2.07 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 6.03 percentage points; the weakest was Q2 2023, with a drop of 3.79 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 11.48% (Q1 2026), 14.73% (Q4 2025) and 14.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 17.16% |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 16.70% |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 21.37% |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 17.71% |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | -11.64% |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 13.26% |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | -49.05% |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | -109.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.70% |
| Mar 31, 2026 | 11.48% |
| Dec 31, 2025 | 14.73% |
| Sep 30, 2025 | 14.73% |
| Jun 30, 2025 | 13.26% |
| Mar 31, 2025 | 11.16% |
| Dec 31, 2024 | 11.84% |
| Sep 30, 2024 | 13.31% |
| Jun 30, 2024 | 11.66% |
| Mar 31, 2024 | 10.28% |
| Dec 31, 2023 | 9.96% |
| Sep 30, 2023 | 9.20% |
| Jun 30, 2023 | 6.91% |
| Mar 31, 2023 | 9.05% |
| Dec 31, 2022 | 13.08% |
| Sep 30, 2022 | 12.17% |
| Jun 30, 2022 | 10.70% |
| Mar 31, 2022 | 8.73% |
| Dec 31, 2021 | 10.58% |
| Sep 30, 2021 | 12.02% |
API Access
Xylem Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();