Church & Dwight (CHD) Other Non-Current Liabilities (2009 - 2026)
Church & Dwight (CHD) posted Other Non-Current Liabilities of $330.3 million for Q2 2026, up 1.1% from $326.8 million a year earlier and up 6.6% from the prior quarter.
Church & Dwight (CHD) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Church & Dwight's Other Non-Current Liabilities came in at $320.5 million, down 3.6% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior years, Church & Dwight's Other Non-Current Liabilities was $332.6 million in FY2024 (+6.0%), $313.7 million in FY2023 (+14.7%), $273.4 million in FY2022 (-8.3%) and $298.3 million in FY2021 (-18.9%).
- Quarterly Other Non-Current Liabilities has run from a low of $270.2 million in Q3 2023 to a high of $332.6 million in Q4 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 2.6%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q3 2024, with growth of 20.8%; the weakest was Q2 2022, with a decline of 20.1%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $309.8 million (Q1 2026), $320.5 million (Q4 2025) and $331.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 330.30 Mn |
| Mar 31, 2026 | 309.80 Mn |
| Dec 31, 2025 | 320.50 Mn |
| Sep 30, 2025 | 331.60 Mn |
| Jun 30, 2025 | 326.80 Mn |
| Mar 31, 2025 | 326.80 Mn |
| Dec 31, 2024 | 332.60 Mn |
| Sep 30, 2024 | 326.40 Mn |
| Jun 30, 2024 | 324.10 Mn |
| Mar 31, 2024 | 330.00 Mn |
| Dec 31, 2023 | 313.70 Mn |
| Sep 30, 2023 | 270.20 Mn |
| Jun 30, 2023 | 281.30 Mn |
| Mar 31, 2023 | 274.10 Mn |
| Dec 31, 2022 | 273.40 Mn |
| Sep 30, 2022 | 272.10 Mn |
| Jun 30, 2022 | 278.80 Mn |
| Mar 31, 2022 | 283.50 Mn |
| Dec 31, 2021 | 298.30 Mn |
| Sep 30, 2021 | 301.50 Mn |
Church & Dwight Other Non-Current Liabilities 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-liabilities&ticker=CHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();