Natural Health Trends (NHTC) Depreciation and Depletion (2010 - 2020)
Natural Health Trends' Depreciation and Depletion was $95,000 in Q1 2020, up 2.2% from $93,000 a year earlier but down 2.1% from the prior quarter.
Natural Health Trends (NHTC) Depreciation and Depletion (2010 - 2020) Analysis & Trends
On a trailing twelve-month basis, Natural Health Trends' Depreciation and Depletion was $389,000 through Mar 31, 2020, up 0.8% year-over-year; for FY2019, it was $387,000, down 8.7% from FY2018.
- Depreciation and Depletion shows a five-year compound annual growth rate of 29.8% (FY2014 to FY2019).
- In earlier years, Depreciation and Depletion was $424,000 in FY2018 (-20.9%), $536,000 in FY2017 (+36.0%), $394,000 in FY2016 (+49.8%) and $263,000 in FY2015 (+150.5%).
- Quarterly Depreciation and Depletion has moved between $68,000 (Q2 2015) and $140,000 (Q2 2017) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for three straight quarters, with an average decline of 13.1% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2015 (growth of 195.7%); the worst was Q3 2018 (a decline of 29.7%).
- Per Business Quant data, NHTC's Depreciation and Depletion in the three quarters before Q1 2020 was $97,000 (Q4 2019), $101,000 (Q3 2019) and $96,000 (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 79.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 22.00 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 10.70 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | - |
| 10 | Natural Health Trends | 8.58 Mn | -92.16 Mn | 5.72 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 95,000.00 |
| Dec 31, 2019 | 97,000.00 |
| Sep 30, 2019 | 101,000.00 |
| Jun 30, 2019 | 96,000.00 |
| Mar 31, 2019 | 93,000.00 |
| Dec 31, 2018 | 92,000.00 |
| Sep 30, 2018 | 97,000.00 |
| Jun 30, 2018 | 104,000.00 |
| Mar 31, 2018 | 131,000.00 |
| Dec 31, 2017 | 122,000.00 |
| Sep 30, 2017 | 138,000.00 |
| Jun 30, 2017 | 140,000.00 |
| Mar 31, 2017 | 136,000.00 |
| Dec 31, 2016 | 118,000.00 |
| Sep 30, 2016 | 96,000.00 |
| Jun 30, 2016 | 91,000.00 |
| Mar 31, 2016 | 89,000.00 |
| Dec 31, 2015 | 82,000.00 |
| Sep 30, 2015 | 72,000.00 |
| Jun 30, 2015 | 68,000.00 |
Natural Health Trends Depreciation and Depletion 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=depreciation-and-depletion&ticker=NHTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();