Natural Health Trends (NHTC) EV to EBITDA (2011 - 2022)
Natural Health Trends' EV to EBITDA was -73.50 in Q3 2022, compared with -1.21 a year earlier.
Analysis
Natural Health Trends (NHTC) EV to EBITDA (2011 - 2022) Analysis & Trends
On a trailing twelve-month basis, Natural Health Trends' EV to EBITDA was -684.57 through Sep 30, 2022; for FY2021, it came in at -3.82.
- In earlier years, EV to EBITDA was -33.37 in FY2020, 2.20 in FY2018 (+179.3%) and 0.79 in FY2017 (-66.8%).
- The Q3 2022 figure marks the lowest quarterly EV to EBITDA in data going back to Q3 2011.
- Per Business Quant data, NHTC's EV to EBITDA in the three quarters before Q3 2022 was -13.73 (Q2 2022), 1.13 (Q1 2022) and -3.82 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Natural Health Trends | 8.49 Mn | -92.24 Mn | 5.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | -73.50 |
| Jun 30, 2022 | -13.73 |
| Mar 31, 2022 | 1.13 |
| Dec 31, 2021 | -3.82 |
| Sep 30, 2021 | -1.21 |
| Jun 30, 2021 | -3.03 |
| Mar 31, 2021 | -4.99 |
| Dec 31, 2020 | -33.37 |
| Sep 30, 2019 | -9.59 |
| Jun 30, 2019 | -2.16 |
| Mar 31, 2019 | 1.22 |
| Dec 31, 2018 | 2.20 |
| Sep 30, 2018 | 3.49 |
| Jun 30, 2018 | 4.05 |
| Mar 31, 2018 | 1.67 |
| Dec 31, 2017 | 0.79 |
| Sep 30, 2017 | 2.57 |
| Jun 30, 2017 | 2.92 |
| Mar 31, 2017 | 3.04 |
| Dec 31, 2016 | 2.37 |
API Access
Natural Health Trends EV to EBITDA 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=ev-to-ebitda&ticker=NHTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();