Church & Dwight (CHD) Accumulated Expenses (2022 - 2026)
Church & Dwight's Accumulated Expenses came in at $583 million for Q4 2025, down 3.7% from $605.5 million a year earlier.
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Analysis
Church & Dwight (CHD) Accumulated Expenses (2022 - 2026) Analysis & Trends
Going back to Q4 2022, Church & Dwight's Accumulated Expenses data covers 6 quarters.
- Accumulated Expenses carries a three-year compound annual growth rate of 10.2% (FY2022 to FY2025).
- Going back by year, Accumulated Expenses was $605.5 million in FY2024 (+4.3%), $580.4 million in FY2023 (+33.1%) and $436.1 million in FY2022.
- The five-year range for quarterly Accumulated Expenses is $436.1 million (Q4 2022) to $605.5 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn |
| 10 | Bath & Body Works | 4.32 Bn | 2.11 Bn | 692.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 567.30 Mn |
| Jun 30, 2026 | 481.90 Mn |
| Mar 31, 2026 | 452.70 Mn |
| Dec 31, 2025 | 583.00 Mn |
| Sep 30, 2025 | 549.70 Mn |
| Jun 30, 2025 | 498.20 Mn |
| Mar 31, 2025 | 460.00 Mn |
| Dec 31, 2024 | 605.50 Mn |
| Sep 30, 2024 | 529.60 Mn |
| Jun 30, 2024 | 460.80 Mn |
| Mar 31, 2024 | 453.50 Mn |
| Dec 31, 2023 | 580.40 Mn |
| Sep 30, 2023 | 485.90 Mn |
| Jun 30, 2023 | 432.40 Mn |
| Dec 31, 2022 | 436.10 Mn |
API Access
Church & Dwight Accumulated 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=accumulated-expenses&ticker=CHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();