Natural Health Trends (NHTC) Accumulated Expenses (2009 - 2026)
Natural Health Trends' Accumulated Expenses came in at $2.93 million for Q4 2019, down 76.6% from $12.5 million a year earlier and down 22.8% from the prior quarter.
Natural Health Trends (NHTC) Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to Q4 2010, Natural Health Trends' Accumulated Expenses data covers 36 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -19.8% (FY2014 to FY2019).
- Going back by year, Accumulated Expenses was $12.5 million in FY2018 (+11.9%), $11.17 million in FY2017 (-17.9%), $13.61 million in FY2016 (-30.7%) and $19.63 million in FY2015 (+121.8%).
- The Q4 2019 figure represents the lowest quarterly Accumulated Expenses since Q3 2013.
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 24.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2015 (growth of 189.9%), and the weakest in Q4 2019 (a decline of 76.6%).
- Business Quant data shows NHTC's Accumulated Expenses at $3.8 million (Q3 2019), $7.05 million (Q2 2019) and $8.91 million (Q1 2019) in the three quarters before Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 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 |
| 10 | Natural Health Trends | 6.28 Mn | -80.03 Mn | 5.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.19 Mn |
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.34 Mn |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 1.43 Mn |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.36 Mn |
| Dec 31, 2023 | 1.17 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.18 Mn |
| Sep 30, 2022 | 1.32 Mn |
| Jun 30, 2022 | 1.79 Mn |
| Mar 31, 2022 | 1.33 Mn |
| Dec 31, 2021 | 1.93 Mn |
Natural Health Trends Accumulated Expenses 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=accumulated-expenses&ticker=NHTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();