Xylem (XYL) Operating Margin (2010 - 2026)
Xylem (XYL) posted Operating Margin of 17.49% for Q3 2026, up 2.77 percentage points from 14.73% a year earlier and up 0.80 percentage points from the prior quarter.
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Analysis
Xylem (XYL) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Margin at Xylem was 15.15%, up 2.36 percentage points year-over-year; for FY2025, it came in at 13.54%, up 1.75 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +6.01 percentage points (FY2020 to FY2025).
- In prior years, Xylem's Operating Margin 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 Q3 2026 figure stands as the highest quarterly Operating Margin in data going back to Q3 2010.
- On a year-over-year basis, Operating Margin has increased in each of the last 11 quarters, with an average year-over-year change of +1.90 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2024, with a gain of 4.75 percentage points; the weakest was Q2 2023, with a drop of 3.79 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 16.70% (Q2 2026), 11.48% (Q1 2026) and 14.73% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.97 Bn | 78.95 Bn | 2.07 Bn | 17.26% |
| 2 | Veralto | 28.80 Bn | 21.43 Bn | 908.00 Mn | 19.75% |
| 3 | Xylem | 23.13 Bn | 18.86 Bn | 907.00 Mn | 17.49% |
| 4 | Badger Meter | 4.57 Bn | 3.97 Bn | 98.85 Mn | 20.23% |
| 5 | Ceco Environmental | 2.30 Bn | 2.12 Bn | 86.47 Mn | -11.64% |
| 6 | NWPX Infrastructure | 882.96 Mn | 841.04 Mn | 38.19 Mn | 13.55% |
| 7 | Energy Recovery | 374.69 Mn | 37.14 Mn | 4.20 Mn | -87.49% |
| 8 | Cadiz | 320.18 Mn | 285.30 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 179.57 Mn | 59.19 Mn | - | - |
| 10 | LanzaTech Global | 58.06 Mn | -39.57 Mn | 1.91 Mn | -109.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.49% |
| 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% |
API Access
Xylem Operating Margin 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-margin&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();