Mannatech (MTEX) Non Operating Interest Expenses (2024 - 2026)
Mannatech (MTEX) reported Non Operating Interest Expenses of $117,000 for Q2 2026, up 14.7% from $102,000 a year earlier.
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Analysis
Mannatech (MTEX) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mannatech's Non Operating Interest Expenses came in at $450,000; for FY2025, it came in at $406,000, up 45.5% from FY2024.
- By year, Non Operating Interest Expenses came in at $279,000 in FY2024.
- Five-year quarterly Non Operating Interest Expenses spans a low of $83,000 in Q4 2024 and a high of $127,000 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Mannatech | 14.30 Mn | -14.40 Mn | 20.49 Mn | 117,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117,000.00 |
| Dec 31, 2025 | 127,000.00 |
| Sep 30, 2025 | 104,000.00 |
| Jun 30, 2025 | 102,000.00 |
| Dec 31, 2024 | 83,000.00 |
| Sep 30, 2024 | 109,000.00 |
API Access
Mannatech Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=MTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=MTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();