Colgate Palmolive (CL) Net of Acquisitions & Divestments (2011 - 2022)
Colgate Palmolive (CL) reported Net of Acquisitions & Divestments of -$293 million for FY2025.
Analysis
Colgate Palmolive (CL) Net of Acquisitions & Divestments (2011 - 2022) Analysis & Trends
Dating back to FY2011, Colgate Palmolive's Net of Acquisitions & Divestments record includes 12 years.
- The FY2025 figure ranks as the highest annual Net of Acquisitions & Divestments since FY2017.
- According to Business Quant data, Net of Acquisitions & Divestments came in at -$809 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.61 Bn | 342.18 Bn | 11.60 Bn | - |
| 2 | Colgate Palmolive | 78.02 Bn | 72.50 Bn | 3.23 Bn | - |
| 3 | Estee Lauder Companies | 41.23 Bn | 28.33 Bn | 2.81 Bn | - |
| 4 | Kimberly Clark | 37.22 Bn | 33.16 Bn | 1.44 Bn | - |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | - |
| 6 | Church & Dwight | 26.32 Bn | 24.71 Bn | 749.40 Mn | - |
| 7 | Clorox | 12.85 Bn | 11.11 Bn | 770.00 Mn | - |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | - |
| 9 | Reynolds Consumer Products | 5.23 Bn | 4.92 Bn | 236.00 Mn | - |
| 10 | Bath & Body Works | 4.71 Bn | 1.91 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | -727.00 Mn |
| Dec 31, 2020 | -1.00 Mn |
| Jun 30, 2020 | -1.00 Mn |
| Mar 31, 2020 | -351.00 Mn |
| Sep 30, 2019 | -1.71 Bn |
| Sep 30, 2018 | -1.00 Mn |
| Mar 31, 2018 | -727.00 Mn |
| Dec 31, 2016 | -5.00 Mn |
| Sep 30, 2015 | 208.00 Mn |
| Dec 31, 2014 | -38.00 Mn |
| Mar 31, 2014 | -25.00 Mn |
| Dec 31, 2013 | -3.00 Mn |
| Dec 31, 2011 | 6.00 Mn |
| Sep 30, 2011 | -12.00 Mn |
API Access
Colgate Palmolive Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=CL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "CL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=CL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();