Xylem (XYL) EBITDA (2010 - 2026)
Xylem (XYL) posted EBITDA of $530 million for Q2 2026, up 17.8% from $450 million a year earlier and up 38.0% from the prior quarter.
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Analysis
Xylem (XYL) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Xylem was $1.89 billion, up 13.9% year-over-year; for FY2025, it was $1.8 billion, up 14.4% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Xylem's EBITDA was $1.57 billion in FY2024 (+44.4%), $1.09 billion in FY2023 (+26.8%), $858 million in FY2022 (+3.4%) and $830 million in FY2021 (+34.3%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q4 2010.
- On a year-over-year basis, EBITDA has increased in each of the last 16 quarters, with growth averaging 14.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2024, with growth of 88.6%; the weakest was Q4 2021, with a decline of 17.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $384 million (Q1 2026), $496 million (Q4 2025) and $476 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 1.03 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 530.00 Mn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 344.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 49.23 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | -21.16 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 26.77 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | -4.88 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | -4.11 Mn |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | -8.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 530.00 Mn |
| Mar 31, 2026 | 384.00 Mn |
| Dec 31, 2025 | 496.00 Mn |
| Sep 30, 2025 | 476.00 Mn |
| Jun 30, 2025 | 450.00 Mn |
| Mar 31, 2025 | 376.00 Mn |
| Dec 31, 2024 | 409.00 Mn |
| Sep 30, 2024 | 421.00 Mn |
| Jun 30, 2024 | 398.00 Mn |
| Mar 31, 2024 | 343.00 Mn |
| Dec 31, 2023 | 348.00 Mn |
| Sep 30, 2023 | 338.00 Mn |
| Jun 30, 2023 | 211.00 Mn |
| Mar 31, 2023 | 191.00 Mn |
| Dec 31, 2022 | 257.00 Mn |
| Sep 30, 2022 | 226.00 Mn |
| Jun 30, 2022 | 206.00 Mn |
| Mar 31, 2022 | 169.00 Mn |
| Dec 31, 2021 | 199.00 Mn |
| Sep 30, 2021 | 214.00 Mn |
API Access
Xylem EBITDA 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=ebitda&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();