Mannatech (MTEX) Non-Current Debt (2015 - 2026)
Mannatech's Non-Current Debt came in at $2.8 million for Q2 2026.
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Analysis
Mannatech (MTEX) Non-Current Debt (2015 - 2026) Analysis & Trends
Going back to Q4 2015, Mannatech's Non-Current Debt data covers 24 quarters.
- Going back by year, Non-Current Debt was $2.9 million in FY2024.
- The five-year range for quarterly Non-Current Debt is $2.8 million (Q4 2025) to $3.6 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 22.84 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 7.82 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.80 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 7.07 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.47 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 2.21 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 3.98 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 802.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Mannatech | 15.11 Mn | -13.59 Mn | 20.49 Mn | 2.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Mn |
| Dec 31, 2025 | 2.80 Mn |
| Sep 30, 2025 | 2.90 Mn |
| Mar 31, 2025 | 2.90 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Sep 30, 2024 | 3.60 Mn |
| Jun 30, 2024 | 3.60 Mn |
| Jun 30, 2020 | 92,000.00 |
| Mar 31, 2020 | 228,000.00 |
| Dec 31, 2019 | 400,000.00 |
| Sep 30, 2019 | 495,000.00 |
| Jun 30, 2019 | 626,000.00 |
| Mar 31, 2019 | 756,000.00 |
| Dec 31, 2018 | 883,000.00 |
| Sep 30, 2018 | 1.01 Mn |
| Jun 30, 2018 | 827,000.00 |
| Sep 30, 2017 | 144,000.00 |
| Jun 30, 2017 | 286,000.00 |
| Mar 31, 2017 | 427,000.00 |
| Dec 31, 2016 | 567,000.00 |
API Access
Mannatech Non-Current Debt 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-current-debt&ticker=MTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=MTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();