Church & Dwight (CHD) Depreciation and Depletion (2009 - 2026)
Church & Dwight (CHD) posted Depreciation and Depletion of $22 million for Q2 2026, down 2.2% from $22.5 million a year earlier but up 1.9% from the prior quarter.
Church & Dwight (CHD) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Church & Dwight was $88.2 million, down 1.5% year-over-year; for FY2025, it was $89.7 million, up 7.8% from FY2024.
- Annual Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Church & Dwight's Depreciation and Depletion was $83.2 million in FY2024 (+14.3%), $72.8 million in FY2023 (+8.7%), $67 million in FY2022 (-2.0%) and $68.4 million in FY2021 (+3.3%).
- Quarterly Depreciation and Depletion has run from a low of $16.6 million in Q1 2022 to a high of $23.4 million in Q4 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last three quarters, with growth averaging 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2025, with growth of 22.8%; the weakest was Q4 2025, with a decline of 4.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $21.6 million (Q1 2026), $22.3 million (Q4 2025) and $22.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 79.00 Mn |
| 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 | 22.00 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 | 10.70 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.00 Mn |
| Mar 31, 2026 | 21.60 Mn |
| Dec 31, 2025 | 22.30 Mn |
| Sep 30, 2025 | 22.30 Mn |
| Jun 30, 2025 | 22.50 Mn |
| Mar 31, 2025 | 22.60 Mn |
| Dec 31, 2024 | 23.40 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 20.40 Mn |
| Mar 31, 2024 | 18.40 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 18.20 Mn |
| Jun 30, 2023 | 17.70 Mn |
| Mar 31, 2023 | 16.90 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 16.70 Mn |
| Jun 30, 2022 | 16.80 Mn |
| Mar 31, 2022 | 16.60 Mn |
| Dec 31, 2021 | 17.10 Mn |
| Sep 30, 2021 | 17.20 Mn |
Church & Dwight Depreciation and Depletion 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=depreciation-and-depletion&ticker=CHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();