Natural Health Trends (NHTC) Total Non-Current Liabilities (2014 - 2024)
Natural Health Trends (NHTC) reported Total Non-Current Liabilities of $22.49 million for Q4 2024, up 0.2% from $22.44 million a year earlier but down 2.2% from the prior quarter.
Natural Health Trends (NHTC) Total Non-Current Liabilities (2014 - 2024) Analysis & Trends
Dating back to Q4 2014, Natural Health Trends' Total Non-Current Liabilities record includes 41 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -4.3% (FY2019 to FY2024).
- By year, Total Non-Current Liabilities came in at $22.44 million in FY2023 (-4.8%), $23.57 million in FY2022 (-11.9%), $26.74 million in FY2021 (+9.1%) and $24.5 million in FY2020 (-12.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $22.44 million in Q4 2023 and a high of $26.74 million in Q4 2021.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 1.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 9.1%); the low point was Q1 2020 (a decline of 43.2%).
- Per Business Quant data, the three quarters before Q4 2024 came in at $22.99 million (Q3 2024), $24.24 million (Q2 2024) and $23.22 million (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Natural Health Trends | 8.84 Mn | -91.90 Mn | 5.72 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 22.49 Mn |
| Sep 30, 2024 | 22.99 Mn |
| Jun 30, 2024 | 24.24 Mn |
| Mar 31, 2024 | 23.22 Mn |
| Dec 31, 2023 | 22.44 Mn |
| Sep 30, 2023 | 23.46 Mn |
| Jun 30, 2023 | 24.34 Mn |
| Mar 31, 2023 | 23.03 Mn |
| Dec 31, 2022 | 23.57 Mn |
| Sep 30, 2022 | 23.59 Mn |
| Jun 30, 2022 | 24.39 Mn |
| Mar 31, 2022 | 24.04 Mn |
| Dec 31, 2021 | 26.74 Mn |
| Sep 30, 2021 | 25.29 Mn |
| Jun 30, 2021 | 25.84 Mn |
| Mar 31, 2021 | 24.36 Mn |
| Dec 31, 2020 | 24.50 Mn |
| Sep 30, 2020 | 24.66 Mn |
| Jun 30, 2020 | 24.89 Mn |
| Mar 31, 2020 | 26.41 Mn |
Natural Health Trends 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=NHTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NHTC", "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=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();