Church & Dwight (CHD) Operating Expenses (2009 - 2026)
Church & Dwight (CHD) recorded Operating Expenses of $252.2 million in Q2 2026, up 10.5% from $228.2 million a year earlier and up 0.5% from the prior quarter.
Church & Dwight (CHD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Church & Dwight's Operating Expenses came in at $1.04 billion as of Jun 30, 2026, up 11.2% year-over-year; for FY2025, it was $988.3 million, up 6.5% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $927.8 million in FY2024 (+4.3%), $889.8 million in FY2023 (+26.0%), $706 million in FY2022 (+16.4%) and $606.7 million in FY2021 (+2.3%).
- Quarterly Operating Expenses has ranged from $116.9 million in Q3 2021 to $275.5 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 43.6% in Q3 2023, against a decline of 3.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $251 million (Q1 2026), $275.5 million (Q4 2025) and $256.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 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 | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 174.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 252.20 Mn |
| Mar 31, 2026 | 251.00 Mn |
| Dec 31, 2025 | 275.50 Mn |
| Sep 30, 2025 | 256.90 Mn |
| Jun 30, 2025 | 228.20 Mn |
| Mar 31, 2025 | 227.70 Mn |
| Dec 31, 2024 | 243.30 Mn |
| Sep 30, 2024 | 231.70 Mn |
| Jun 30, 2024 | 222.80 Mn |
| Mar 31, 2024 | 230.00 Mn |
| Dec 31, 2023 | 246.20 Mn |
| Sep 30, 2023 | 222.70 Mn |
| Jun 30, 2023 | 213.10 Mn |
| Mar 31, 2023 | 207.80 Mn |
| Dec 31, 2022 | 200.20 Mn |
| Sep 30, 2022 | 155.10 Mn |
| Jun 30, 2022 | 180.80 Mn |
| Mar 31, 2022 | 169.90 Mn |
| Dec 31, 2021 | 203.70 Mn |
| Sep 30, 2021 | 116.90 Mn |
Church & Dwight Operating 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=operating-expenses&ticker=CHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();