Natural Health Trends (NHTC) Cash & Equivalents (2010 - 2026)
Natural Health Trends (NHTC) recorded Cash & Equivalents of $9.5 million in Q2 2026, down 10.1% from $10.57 million a year earlier but up 3.0% from the prior quarter.
Natural Health Trends (NHTC) Cash & Equivalents (2010 - 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%).
- Quarterly Cash & Equivalents has ranged from $6.81 million in Q4 2025 to $85.16 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for 31 consecutive quarters, with an average decline of 42.5% over the last eight quarters.
- The year-over-year decline in Cash & Equivalents has ranged between 6.7% (Q3 2021) and 75.9% (Q4 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $9.22 million (Q1 2026), $6.81 million (Q4 2025) and $14.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 9.94 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 1.11 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 3.50 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Natural Health Trends | 8.66 Mn | -92.07 Mn | 5.72 Mn | 9.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | 9.22 Mn |
| Dec 31, 2025 | 6.81 Mn |
| Sep 30, 2025 | 14.34 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 |
| Sep 30, 2021 | 85.16 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();