Healthy Extracts (HYEX) Long-Term Debt Repayments (2017 - 2026)
Healthy Extracts (HYEX) reported Long-Term Debt Repayments of $20,276 for Q4 2025, up 3.2% from the prior quarter.
Analysis
Healthy Extracts (HYEX) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
For FY2025, Healthy Extracts posted Long-Term Debt Repayments of $77,455.
- Long-Term Debt Repayments has a three-year compound annual growth rate of -23.1% (FY2022 to FY2025).
- By year, Long-Term Debt Repayments came in at $25,000 in FY2023 (-85.3%) and $170,000 in FY2022.
- Five-year quarterly Long-Term Debt Repayments spans a low of -$33,413 in Q3 2022 and a high of $167,000 in Q1 2022.
- Per Business Quant data, the three quarters before Q4 2025 came in at $19,655 (Q3 2025), $24,122 (Q2 2025) and $13,402 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 747.00 Mn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 1.00 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 1.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | - |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | - |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | - |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | - |
| 10 | Healthy Extracts | 20.64 Mn | 19.95 Mn | 1.45 Mn | 16,275.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16,275.00 |
| Mar 31, 2026 | 21,580.00 |
| Dec 31, 2025 | 20,276.00 |
| Sep 30, 2025 | 19,655.00 |
| Jun 30, 2025 | 24,122.00 |
| Mar 31, 2025 | 13,402.00 |
| Sep 30, 2022 | -33,413.00 |
| Jun 30, 2022 | 36,413.00 |
| Mar 31, 2022 | 167,000.00 |
| Mar 31, 2019 | 349,330.00 |
| Mar 31, 2017 | 186,250.00 |
API Access
Healthy Extracts Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HYEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HYEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=HYEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();