Church & Dwight (CHD) Acquisitions (2010 - 2025)
Church & Dwight's Acquisitions was -$400,000 in Q4 2025.
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Analysis
Church & Dwight (CHD) Acquisitions (2010 - 2025) Analysis & Trends
For FY2025, Acquisitions at Church & Dwight came in at $656 million.
- Acquisitions shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Acquisitions was $19.9 million in FY2024, $546.8 million in FY2022 (-1.7%) and $556 million in FY2021 (+8.4%).
- The Q4 2025 figure marks the lowest quarterly Acquisitions in data going back to Q3 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | - |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | - |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | - |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | - |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 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 |
| Dec 31, 2010 | 46.00 Mn |
| Oct 1, 2010 | 10.00 Mn |
API Access
Church & Dwight 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=CHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();