Church & Dwight (CHD) Other Non-Current Assets (2009 - 2026)
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Analysis
Church & Dwight (CHD) Other Non-Current Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 12.55 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 998.00 Mn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 11.42 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 674.00 Mn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 1.22 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 348.10 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 510.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 167.56 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 129.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | 87.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 348.10 Mn |
| Jun 30, 2026 | 352.40 Mn |
| Mar 31, 2026 | 343.00 Mn |
| Dec 31, 2025 | 343.30 Mn |
| Sep 30, 2025 | 377.70 Mn |
| Jun 30, 2025 | 374.20 Mn |
| Mar 31, 2025 | 364.10 Mn |
| Dec 31, 2024 | 378.00 Mn |
| Sep 30, 2024 | 369.20 Mn |
| Jun 30, 2024 | 373.20 Mn |
| Mar 31, 2024 | 373.10 Mn |
| Dec 31, 2023 | 366.00 Mn |
| Sep 30, 2023 | 311.90 Mn |
| Jun 30, 2023 | 317.40 Mn |
| Mar 31, 2023 | 314.80 Mn |
| Dec 31, 2022 | 317.50 Mn |
| Sep 30, 2022 | 320.40 Mn |
| Jun 30, 2022 | 316.00 Mn |
| Mar 31, 2022 | 316.90 Mn |
| Dec 31, 2021 | 332.50 Mn |
API Access
Church & Dwight Other Non-Current Assets 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=other-non-current-assets&ticker=CHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();