Xylem (XYL) Acquisitions (2010 - 2026)
Xylem's Acquisitions was $1 million in Q2 2026.
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Analysis
Xylem (XYL) Acquisitions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xylem's Acquisitions was $157 million through Jun 30, 2026, down 19.5% year-over-year; for FY2025, it was $163 million, down 15.5% from FY2024.
- In earlier years, Acquisitions was $193 million in FY2024 (-59.5%) and $476 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Acquisitions in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 80.76 Bn | 72.50 Bn | 1.95 Bn | - |
| 2 | Xylem | 25.08 Bn | 20.33 Bn | 963.00 Mn | 1.00 Mn |
| 3 | Veralto | 24.81 Bn | 17.46 Bn | 902.00 Mn | 194.00 Mn |
| 4 | Badger Meter | 3.83 Bn | 3.10 Bn | 90.77 Mn | 94.38 Mn |
| 5 | Ceco Environmental | 2.55 Bn | 2.38 Bn | 86.47 Mn | - |
| 6 | NWPX Infrastructure | 958.79 Mn | 920.26 Mn | 34.36 Mn | - |
| 7 | Energy Recovery | 342.49 Mn | 17.65 Mn | 8.96 Mn | - |
| 8 | Cadiz | 333.64 Mn | 302.09 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 213.04 Mn | 92.67 Mn | - | - |
| 10 | LanzaTech Global | 58.30 Mn | -56.83 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Dec 31, 2025 | 50.00 Mn |
| Sep 30, 2025 | 106.00 Mn |
| Mar 31, 2025 | 7.00 Mn |
| Dec 31, 2024 | 188.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Jun 30, 2019 | 13.00 Mn |
| Mar 31, 2019 | 5.00 Mn |
| Sep 30, 2018 | 3.00 Mn |
| Mar 31, 2018 | 430.00 Mn |
| Dec 31, 2017 | 17.00 Mn |
| Sep 30, 2017 | 10.00 Mn |
| Mar 31, 2017 | 6.00 Mn |
| Dec 31, 2016 | 1.71 Bn |
| Mar 31, 2016 | 70.00 Mn |
| Dec 31, 2015 | 18.00 Mn |
| Jun 30, 2013 | 3.00 Mn |
| Mar 31, 2013 | 78.00 Mn |
| Dec 31, 2012 | 29.00 Mn |
| Sep 30, 2012 | 12.00 Mn |
API Access
Xylem Acquisitions 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=acquisitions&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();