Church & Dwight (CHD) EBITDA (2009 - 2026)
Church & Dwight's EBITDA was $383 million in Q2 2026, up 8.7% from $352.4 million a year earlier but down 3.1% from the prior quarter.
Church & Dwight (CHD) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Church & Dwight's EBITDA was $1.51 billion through Jun 30, 2026, up 36.2% year-over-year; for FY2025, it was $1.48 billion, up 23.3% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.2 billion in FY2024 (-16.2%), $1.44 billion in FY2023 (+48.1%), $968.8 million in FY2022 (-33.1%) and $1.45 billion in FY2021 (+7.9%).
- Quarterly EBITDA has moved between -$140 million (Q4 2022) and $435.7 million (Q2 2024) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with an average decline of 10.6% over the last seven quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2024 (growth of 30.0%); the worst was Q3 2024 (a decline of 97.5%).
- Per Business Quant data, CHD's EBITDA in the three quarters before Q2 2026 was $395.2 million (Q1 2026), $375.3 million (Q4 2025) and $360.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 54.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383.00 Mn |
| Mar 31, 2026 | 395.20 Mn |
| Dec 31, 2025 | 375.30 Mn |
| Sep 30, 2025 | 360.50 Mn |
| Jun 30, 2025 | 352.40 Mn |
| Mar 31, 2025 | 394.50 Mn |
| Dec 31, 2024 | 356.70 Mn |
| Sep 30, 2024 | 7.90 Mn |
| Jun 30, 2024 | 435.70 Mn |
| Mar 31, 2024 | 401.80 Mn |
| Dec 31, 2023 | 274.40 Mn |
| Sep 30, 2023 | 312.00 Mn |
| Jun 30, 2023 | 349.40 Mn |
| Mar 31, 2023 | 346.80 Mn |
| Dec 31, 2022 | -140.00 Mn |
| Sep 30, 2022 | 307.20 Mn |
| Jun 30, 2022 | 315.20 Mn |
| Mar 31, 2022 | 334.40 Mn |
| Dec 31, 2021 | 230.60 Mn |
| Sep 30, 2021 | 356.00 Mn |
Church & Dwight EBITDA 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=ebitda&ticker=CHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();