Natural Health Trends (NHTC) EV to EBIT (2011 - 2022)
Natural Health Trends' (NHTC) EV to EBIT came in at -165.58 for Q3 2022, compared with -1.39 a year earlier.
Analysis
Natural Health Trends (NHTC) EV to EBIT (2011 - 2022) Analysis & Trends
For the trailing twelve months through Sep 30, 2022, EV to EBIT at Natural Health Trends was -1542.25; for FY2021, it was -4.55.
- In prior years, Natural Health Trends' EV to EBIT was -53.82 in FY2020, 2.23 in FY2018 (+179.3%) and 0.80 in FY2017 (-66.6%).
- The Q3 2022 figure stands as the lowest quarterly EV to EBIT in data going back to Q3 2011.
- According to Business Quant data, EV to EBIT for the three prior quarters was -18.01 (Q2 2022), 1.45 (Q1 2022) and -4.55 (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 | -165.58 |
| Jun 30, 2022 | -18.01 |
| Mar 31, 2022 | 1.45 |
| Dec 31, 2021 | -4.55 |
| Sep 30, 2021 | -1.39 |
| Jun 30, 2021 | -3.46 |
| Mar 31, 2021 | -5.83 |
| Dec 31, 2020 | -53.82 |
| Sep 30, 2019 | -11.47 |
| Jun 30, 2019 | -2.23 |
| Mar 31, 2019 | 1.24 |
| Dec 31, 2018 | 2.23 |
| Sep 30, 2018 | 3.53 |
| Jun 30, 2018 | 4.10 |
| Mar 31, 2018 | 1.69 |
| Dec 31, 2017 | 0.80 |
| Sep 30, 2017 | 2.59 |
| Jun 30, 2017 | 2.94 |
| Mar 31, 2017 | 3.06 |
| Dec 31, 2016 | 2.38 |
API Access
Natural Health Trends EV to EBIT 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-ebit&ticker=NHTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=NHTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();