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 32.0%).
- 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 | 389.52 Bn | 341.08 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 14.09 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 9.67 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 15.94 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 13.53 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 4.53 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 7.30 Bn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 1.27 Bn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 2.65 Bn |
| 10 | Natural Health Trends | 6.38 Mn | -79.93 Mn | 5.61 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();