Mannatech (MTEX) Price to Earnings (2013 - 2024)
Mannatech's (MTEX) Price to Earnings came in at 10.17 for Q4 2024.
Powered by 
Analysis
Mannatech (MTEX) Price to Earnings (2013 - 2024) Analysis & Trends
Since Q1 2013, Mannatech has reported Price to Earnings for 30 quarters.
- In prior years, Mannatech's Price to Earnings was 7.75 in FY2021 (+25.9%) and 6.15 in FY2020 (-47.2%).
- The Q4 2024 figure stands as the highest quarterly Price to Earnings since Q1 2022.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q3 2021, with growth of 164.4%; the weakest was Q4 2020, with a decline of 47.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 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 |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Mannatech | 12.81 Mn | -15.88 Mn | 20.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 10.17 |
| Sep 30, 2022 | 9.70 |
| Jun 30, 2022 | 8.93 |
| Mar 31, 2022 | 14.21 |
| Dec 31, 2021 | 10.82 |
| Sep 30, 2021 | 12.11 |
| Jun 30, 2021 | 7.87 |
| Mar 31, 2021 | 7.42 |
| Dec 31, 2020 | 6.15 |
| Sep 30, 2020 | 4.58 |
| Jun 30, 2020 | 6.86 |
| Mar 31, 2020 | 4.78 |
| Dec 31, 2019 | 11.65 |
| Sep 30, 2017 | 49.21 |
| Jun 30, 2017 | 60.25 |
| Sep 30, 2016 | 23.29 |
| Jun 30, 2016 | 64.01 |
| Mar 31, 2016 | 11.89 |
| Dec 31, 2015 | 8.66 |
| Sep 30, 2015 | 8.25 |
API Access
Mannatech Price to Earnings 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=price-to-earnings&ticker=MTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MTEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=MTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();