Church & Dwight (CHD) Total Non-Current Liabilities (2009 - 2026)
Church & Dwight (CHD) posted Total Non-Current Liabilities of $4.43 billion for Q2 2026, up 8.8% from $4.07 billion a year earlier but down 1.8% 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 2.7% (FY2020 to FY2025).
- In prior years, Church & Dwight's Total Non-Current Liabilities was $4.19 billion in FY2024 (-4.8%), $4.4 billion in FY2023 (-4.0%), $4.58 billion in FY2022 (+2.6%) and $4.47 billion in FY2021 (+10.9%).
- Quarterly Total Non-Current Liabilities has run from a low of $3.57 billion in Q3 2021 to a high of $4.61 billion in Q2 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 3.3% 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 26.6%; the weakest was Q2 2023, with a decline of 6.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $4.51 billion (Q1 2026), $4.59 billion (Q4 2025) and $4.59 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Bath & Body Works | 4.44 Bn | 2.09 Bn | 692.00 Mn | 6.12 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 3.55 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();