Natural Health Trends (NHTC) Accumulated Expenses (2010 - 2019)
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.
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Analysis
Natural Health Trends (NHTC) Accumulated Expenses (2010 - 2019) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Natural Health Trends | 8.84 Mn | -91.90 Mn | 5.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.93 Mn |
| Sep 30, 2019 | 3.80 Mn |
| Jun 30, 2019 | 7.05 Mn |
| Mar 31, 2019 | 8.91 Mn |
| Dec 31, 2018 | 12.50 Mn |
| Sep 30, 2018 | 13.13 Mn |
| Jun 30, 2018 | 10.40 Mn |
| Mar 31, 2018 | 10.03 Mn |
| Dec 31, 2017 | 11.17 Mn |
| Sep 30, 2017 | 10.44 Mn |
| Jun 30, 2017 | 12.67 Mn |
| Mar 31, 2017 | 13.20 Mn |
| Dec 31, 2016 | 13.61 Mn |
| Sep 30, 2016 | 18.62 Mn |
| Jun 30, 2016 | 18.65 Mn |
| Mar 31, 2016 | 16.71 Mn |
| Dec 31, 2015 | 19.63 Mn |
| Sep 30, 2015 | 20.64 Mn |
| Jun 30, 2015 | 14.34 Mn |
| Mar 31, 2015 | 7.43 Mn |
API Access
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_KEYimport 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();