Colgate Palmolive (CL) Acquisitions (2011 - 2022)
Colgate Palmolive's Acquisitions was $293 million in FY2025.
Analysis
Colgate Palmolive (CL) Acquisitions (2011 - 2022) Analysis & Trends
From FY2011 onward, Colgate Palmolive has reported Acquisitions for 11 years.
- Acquisitions shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Acquisitions since FY2022.
- Per Business Quant data, Acquisitions in earlier years was $809 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | - |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | - |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | - |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 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 | 13.00 Mn |
| Dec 31, 2014 | 62.00 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 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=CL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=CL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();