Church & Dwight (CHD) Total Non-Current Liabilities (2009 - 2026)
Church & Dwight (CHD) posted Total Non-Current Liabilities of $4.53 billion for Q3 2026, up 1.9% from $4.44 billion a year earlier and up 2.3% from the prior quarter.
Church & Dwight (CHD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Church & Dwight's Total Non-Current Liabilities came in at $4.59 billion, up 9.5% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Church & Dwight's Total Non-Current Liabilities was $4.19 billion in FY2024 (-4.1%), $4.37 billion in FY2023 (-3.8%), $4.54 billion in FY2022 (+2.5%) and $4.43 billion in FY2021 (+13.4%).
- Quarterly Total Non-Current Liabilities has run from a low of $4.07 billion in Q2 2025 to a high of $4.59 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2022, with growth of 26.4%; the weakest was Q2 2023, with a decline of 6.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $4.43 billion (Q2 2026), $4.51 billion (Q1 2026) and $4.59 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 14.09 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 9.67 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 15.94 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 13.53 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 4.53 Bn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 7.30 Bn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 1.27 Bn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 2.65 Bn |
| 10 | Bath & Body Works | 4.38 Bn | 2.17 Bn | 692.00 Mn | 6.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.53 Bn |
| Jun 30, 2026 | 4.43 Bn |
| Mar 31, 2026 | 4.51 Bn |
| Dec 31, 2025 | 4.59 Bn |
| Sep 30, 2025 | 4.44 Bn |
| Jun 30, 2025 | 4.07 Bn |
| Mar 31, 2025 | 4.08 Bn |
| Dec 31, 2024 | 4.19 Bn |
| Sep 30, 2024 | 4.11 Bn |
| Jun 30, 2024 | 4.10 Bn |
| Mar 31, 2024 | 4.10 Bn |
| Dec 31, 2023 | 4.37 Bn |
| Sep 30, 2023 | 4.34 Bn |
| Jun 30, 2023 | 4.28 Bn |
| Mar 31, 2023 | 4.28 Bn |
| Dec 31, 2022 | 4.54 Bn |
| Sep 30, 2022 | 4.29 Bn |
| Jun 30, 2022 | 4.58 Bn |
| Mar 31, 2022 | 4.22 Bn |
| Dec 31, 2021 | 4.43 Bn |
Church & Dwight Total 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=total-non-current-liabilities&ticker=CHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=CHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();