HealthLynked (HLYK) Total Liabilities (2016 - 2026)
HealthLynked's Total Liabilities came in at $9.35 million for Q2 2026, up 41.6% from $6.6 million a year earlier and up 8.1% from the prior quarter.
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Analysis
HealthLynked (HLYK) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, HealthLynked's Total Liabilities was $7.46 million, up 39.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $5.35 million in FY2024 (+54.0%), $3.48 million in FY2023 (-18.5%), $4.27 million in FY2022 (+22.2%) and $3.49 million in FY2021 (-47.7%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2016.
- Year-over-year, Total Liabilities has increased for nine consecutive quarters, with growth averaging 45.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2025 (growth of 68.8%), and the weakest in Q4 2021 (a decline of 47.7%).
- Business Quant data shows HLYK's Total Liabilities at $8.65 million (Q1 2026), $7.46 million (Q4 2025) and $7.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | HealthLynked | 5.82 Mn | 5.73 Mn | - | 9.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.35 Mn |
| Mar 31, 2026 | 8.65 Mn |
| Dec 31, 2025 | 7.46 Mn |
| Sep 30, 2025 | 7.20 Mn |
| Jun 30, 2025 | 6.60 Mn |
| Mar 31, 2025 | 6.19 Mn |
| Dec 31, 2024 | 5.35 Mn |
| Sep 30, 2024 | 4.69 Mn |
| Jun 30, 2024 | 4.28 Mn |
| Mar 31, 2024 | 3.67 Mn |
| Dec 31, 2023 | 3.48 Mn |
| Sep 30, 2023 | 4.13 Mn |
| Jun 30, 2023 | 3.95 Mn |
| Mar 31, 2023 | 3.98 Mn |
| Dec 31, 2022 | 4.27 Mn |
| Sep 30, 2022 | 3.44 Mn |
| Jun 30, 2022 | 3.11 Mn |
| Mar 31, 2022 | 2.93 Mn |
| Dec 31, 2021 | 3.49 Mn |
| Sep 30, 2021 | 4.19 Mn |
API Access
HealthLynked Total Liabilities 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=total-liabilities&ticker=HLYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HLYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();