Natural Health Trends (NHTC) Dividends Paid - Common and Preferred (2014 - 2026)
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Analysis
Natural Health Trends (NHTC) Dividends Paid - Common and Preferred (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 2.60 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 429.00 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 126.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 403.00 Mn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 425.00 Mn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 73.80 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 151.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | - |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 49.00 Mn |
| 10 | Natural Health Trends | 6.28 Mn | -80.03 Mn | 5.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 858,000.00 |
| Mar 31, 2026 | 858,000.00 |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 2.30 Mn |
| Jun 30, 2025 | 2.30 Mn |
| Mar 31, 2025 | 2.30 Mn |
| Dec 31, 2024 | 2.30 Mn |
| Sep 30, 2024 | 2.30 Mn |
| Jun 30, 2024 | 2.30 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 2.30 Mn |
| Jun 30, 2023 | 2.30 Mn |
| Mar 31, 2023 | 2.30 Mn |
| Dec 31, 2022 | 2.28 Mn |
| Sep 30, 2022 | 2.29 Mn |
| Jun 30, 2022 | 2.29 Mn |
| Mar 31, 2022 | 2.29 Mn |
| Dec 31, 2021 | 2.28 Mn |
| Sep 30, 2021 | 2.29 Mn |
API Access
Natural Health Trends Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=NHTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();