Natural Health Trends (NHTC) Cash & Equivalents (2009 - 2026)
Natural Health Trends (NHTC) recorded Cash & Equivalents of $5.82 million in Q3 2026, down 59.5% from $14.37 million a year earlier and down 38.8% from the prior quarter.
Natural Health Trends (NHTC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Natural Health Trends reported Cash & Equivalents of $6.81 million, down 49.8% from FY2024.
- Annual Cash & Equivalents has declined for eight straight years, with a five-year compound annual growth rate of -40.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $13.57 million in FY2024 (-75.9%), $56.22 million in FY2023 (-19.4%), $69.75 million in FY2022 (-17.3%) and $84.37 million in FY2021 (-9.2%).
- The Q3 2026 figure is the lowest quarterly Cash & Equivalents since Q1 2013.
- On a year-over-year basis, Cash & Equivalents has declined for 32 consecutive quarters, with an average decline of 42.3% over the last eight quarters.
- The year-over-year decline in Cash & Equivalents has ranged between 9.2% (Q4 2021) and 75.9% (Q4 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $9.5 million (Q2 2026), $9.22 million (Q1 2026) and $6.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 15.37 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 1.53 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 3.20 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.04 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 1.87 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 446.90 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 184.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 350.80 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 25.00 Mn |
| 10 | Natural Health Trends | 6.28 Mn | -80.03 Mn | 5.61 Mn | 5.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.82 Mn |
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | 9.22 Mn |
| Dec 31, 2025 | 6.81 Mn |
| Sep 30, 2025 | 14.37 Mn |
| Jun 30, 2025 | 10.57 Mn |
| Mar 31, 2025 | 21.72 Mn |
| Dec 31, 2024 | 13.57 Mn |
| Sep 30, 2024 | 22.94 Mn |
| Jun 30, 2024 | 15.61 Mn |
| Mar 31, 2024 | 25.86 Mn |
| Dec 31, 2023 | 56.22 Mn |
| Sep 30, 2023 | 58.45 Mn |
| Jun 30, 2023 | 61.61 Mn |
| Mar 31, 2023 | 66.65 Mn |
| Dec 31, 2022 | 69.75 Mn |
| Sep 30, 2022 | 70.73 Mn |
| Jun 30, 2022 | 75.71 Mn |
| Mar 31, 2022 | 79.46 Mn |
| Dec 31, 2021 | 84.37 Mn |
Natural Health Trends Cash & Equivalents 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=cash-and-equivalents&ticker=NHTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();