Xylem (XYL) Change in Accrued Expenses (2010 - 2012)
Xylem (XYL) reported Change in Accrued Expenses of -$69 million for FY2025, compared with $17 million in FY2024.
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Analysis
Xylem (XYL) Change in Accrued Expenses (2010 - 2012) Analysis & Trends
Dating back to FY2009, Xylem's Change in Accrued Expenses record includes 17 years.
- The FY2025 figure ranks as the lowest annual Change in Accrued Expenses in data going back to FY2009.
- According to Business Quant data, Change in Accrued Expenses came in at $17 million in FY2024, -$4 million in FY2023, $57 million in FY2022 (+714.3%) and $7 million in FY2021 (-93.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | - |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | -8.00 Mn |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | - |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | - |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | 9.19 Mn |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 2.27 Mn |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | -871,000.00 |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | 437,000.00 |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | 452,741.00 |
| 10 | LanzaTech Global | 55.76 Mn | -41.87 Mn | 1.91 Mn | -2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 2.00 Mn |
| Sep 30, 2012 | -6.00 Mn |
| Jun 30, 2012 | 1.00 Mn |
| Mar 31, 2012 | -25.00 Mn |
| Dec 31, 2011 | 39.00 Mn |
| Sep 30, 2011 | 11.00 Mn |
| Jun 30, 2011 | 8.00 Mn |
| Mar 31, 2011 | -5.00 Mn |
| Dec 31, 2010 | 17.00 Mn |
API Access
Xylem Change in Accrued Expenses 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=change-in-accured-expenses&ticker=XYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();