Mannatech (MTEX) Pension (2011 - 2026)
Mannatech's Pension came in at $148,000 for Q2 2026.
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Analysis
Mannatech (MTEX) Pension (2011 - 2026) Analysis & Trends
At the end of FY2025, Mannatech's Pension was $154,000, down 23.0% from FY2024.
- Going back by year, Pension was $200,000 in FY2024.
- The Q2 2026 figure represents the lowest quarterly Pension in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 369.49 Bn | 325.25 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.83 Bn | 69.56 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 37.93 Bn | 26.01 Bn | 2.74 Bn |
| 4 | Kenvue | 36.85 Bn | 32.46 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.78 Bn | 32.98 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.94 Bn | 23.47 Bn | 693.90 Mn |
| 7 | Clorox | 10.44 Bn | 8.72 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.81 Bn | 5.78 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.81 Bn | 4.47 Bn | 245.00 Mn |
| 10 | Mannatech | 15.65 Mn | -13.05 Mn | 20.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148,000.00 |
| Dec 31, 2025 | 154,000.00 |
| Sep 30, 2025 | 216,000.00 |
| Dec 31, 2024 | 200,000.00 |
| Sep 30, 2016 | 500,000.00 |
| Jun 30, 2016 | 500,000.00 |
| Mar 31, 2016 | 500,000.00 |
| Dec 31, 2015 | 500,000.00 |
| Sep 30, 2015 | 400,000.00 |
| Jun 30, 2015 | 600,000.00 |
| Mar 31, 2015 | 600,000.00 |
| Dec 31, 2014 | 600,000.00 |
| Sep 30, 2014 | 600,000.00 |
| Jun 30, 2014 | 700,000.00 |
| Mar 31, 2014 | 600,000.00 |
| Dec 31, 2013 | 600,000.00 |
| Sep 30, 2013 | 700,000.00 |
| Jun 30, 2013 | 600,000.00 |
| Mar 31, 2013 | 700,000.00 |
| Dec 31, 2012 | 700,000.00 |
API Access
Mannatech Pension 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=pension&ticker=MTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=MTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();