Church & Dwight (CHD) Short term Debt (2009 - 2023)
Church & Dwight's Short term Debt came in at $199.9 million for Q4 2023.
Powered by 
Analysis
Church & Dwight (CHD) Short term Debt (2009 - 2023) Analysis & Trends
Going back to Q4 2009, Church & Dwight's Short term Debt data covers 21 quarters.
- Short term Debt carries a five-year compound annual growth rate of -19.6% (FY2018 to FY2023).
- Going back by year, Short term Debt was $699.4 million in FY2021.
- The Q4 2023 figure represents the highest quarterly Short term Debt since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 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 |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 199.90 Mn |
| Sep 30, 2022 | 400.00 Mn |
| Jun 30, 2022 | 699.90 Mn |
| Mar 31, 2022 | 699.70 Mn |
| Dec 31, 2021 | 699.40 Mn |
| Sep 30, 2021 | 299.60 Mn |
| Jun 30, 2021 | 200.00 Mn |
| Sep 30, 2019 | 299.60 Mn |
| Jun 30, 2019 | 299.00 Mn |
| Mar 31, 2019 | 297.70 Mn |
| Dec 31, 2018 | 596.50 Mn |
| Sep 30, 2018 | 299.70 Mn |
| Jun 30, 2018 | 299.50 Mn |
| Mar 31, 2018 | 299.20 Mn |
| Sep 30, 2015 | 250.00 Mn |
| Jun 30, 2015 | 250.00 Mn |
| Mar 31, 2015 | 249.90 Mn |
| Dec 31, 2014 | 249.90 Mn |
| Oct 1, 2010 | 145.83 Mn |
| Jul 2, 2010 | 158.57 Mn |
API Access
Church & Dwight Short term Debt 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=short-term-debt&ticker=CHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();