HealthLynked (HLYK) Long-Term Debt Repayments (2016 - 2026)
HealthLynked's Long-Term Debt Repayments came in at $225,996 for Q2 2026, up 89.1% from $119,533 a year earlier and up 12.2% from the prior quarter.
HealthLynked (HLYK) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, HealthLynked reported Long-Term Debt Repayments of $780,527, up 17.9% year-over-year; for FY2025, it was $584,135, down 38.0% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $941,660 in FY2024 (-33.3%), $1.41 million in FY2023 (+627.1%), $194,072 in FY2022 (+279.7%) and $51,109 in FY2021 (-97.3%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q3 2024.
- Year-over-year, Long-Term Debt Repayments has increased for three consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2023 (growth of 468.3%), and the weakest in Q4 2024 (a decline of 78.8%).
- Business Quant data shows HLYK's Long-Term Debt Repayments at $201,347 (Q1 2026), $163,185 (Q4 2025) and $189,999 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.05 Bn | 24.30 Bn | 695.95 Mn | - |
| 3 | Samsara | 25.30 Bn | 22.08 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn | - |
| 5 | Toast | 18.84 Bn | 11.51 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.60 Bn | 13.67 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.86 Bn | 12.85 Bn | 168.33 Mn | - |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.98 Bn | 11.44 Bn | 336.74 Mn | 691.93 Mn |
| 10 | HealthLynked | 6.17 Mn | 6.09 Mn | - | 230,996.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230,996.00 |
| Mar 31, 2026 | 236,187.00 |
| Dec 31, 2025 | 243,185.00 |
| Sep 30, 2025 | 245,999.00 |
| Jun 30, 2025 | 119,533.00 |
| Mar 31, 2025 | 111,418.00 |
| Dec 31, 2024 | 215,115.00 |
| Sep 30, 2024 | 345,771.00 |
| Jun 30, 2024 | 327,097.00 |
| Mar 31, 2024 | 221,278.00 |
| Dec 31, 2023 | 921,042.00 |
| Sep 30, 2023 | 657,075.00 |
| Jun 30, 2023 | 499,452.00 |
| Mar 31, 2023 | 430,093.00 |
| Dec 31, 2022 | 166,693.00 |
| Sep 30, 2022 | 54,867.00 |
| Mar 31, 2021 | 51,109.00 |
| Dec 31, 2020 | 27,893.00 |
| Sep 30, 2020 | 1.95 Mn |
| Jun 30, 2020 | 445,778.00 |
HealthLynked 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=HLYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HLYK", "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=HLYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();