Church & Dwight (CHD) Net of Acquisitions & Divestments (2009 - 2025)
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Analysis
Church & Dwight (CHD) Net of Acquisitions & Divestments (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.79 Bn | 323.55 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 74.66 Bn | 69.39 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 38.33 Bn | 26.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.21 Bn | 31.83 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.02 Bn | 32.22 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.64 Bn | 23.17 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.41 Bn | 8.69 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.70 Bn | 5.68 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.76 Bn | 4.42 Bn | 245.00 Mn | - |
| 10 | Bath & Body Works | 4.29 Bn | 1.94 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 400,000.00 |
| Sep 30, 2025 | -656.40 Mn |
| Dec 31, 2020 | -512.70 Mn |
| Jun 30, 2019 | -475.00 Mn |
| Jun 30, 2018 | 100,000.00 |
| Mar 31, 2018 | -49.90 Mn |
| Sep 30, 2017 | -1.02 Bn |
| Jun 30, 2017 | -75.00 Mn |
| Mar 31, 2017 | -160.30 Mn |
| Dec 31, 2016 | -129.80 Mn |
| Jun 30, 2016 | -500,000.00 |
| Mar 31, 2016 | -175.00 Mn |
| Mar 31, 2015 | -74.90 Mn |
| Sep 30, 2014 | -216.10 Mn |
| Dec 31, 2012 | -652.30 Mn |
| Dec 31, 2011 | -4.30 Mn |
| Jul 1, 2011 | -64.70 Mn |
| Apr 1, 2011 | -100,000.00 |
| Dec 31, 2010 | -45.50 Mn |
| Oct 1, 2010 | -10.10 Mn |
API Access
Church & Dwight 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=CHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "CHD", "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=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();