HealthLynked (HLYK) Total Non-Current Liabilities (2016 - 2024)
HealthLynked (HLYK) recorded Total Non-Current Liabilities of $5.08 million in Q4 2024.
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Analysis
HealthLynked (HLYK) Total Non-Current Liabilities (2016 - 2024) Analysis & Trends
Starting with Q4 2016, HealthLynked's Total Non-Current Liabilities history includes 13 quarters.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of 30.2% (FY2021 to FY2024).
- Across earlier years, Total Non-Current Liabilities came in at $4.07 million in FY2022 (+76.5%) and $2.3 million in FY2021.
- The Q4 2024 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | HealthLynked | 5.82 Mn | 5.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 5.08 Mn |
| Sep 30, 2023 | 4.12 Mn |
| Jun 30, 2023 | 3.77 Mn |
| Mar 31, 2023 | 3.79 Mn |
| Dec 31, 2022 | 4.07 Mn |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2018 | 2.50 Mn |
| Jun 30, 2018 | 3.32 Mn |
| Mar 31, 2018 | 3.09 Mn |
| Sep 30, 2017 | 1.86 Mn |
| Jun 30, 2017 | 1.33 Mn |
| Mar 31, 2017 | 1.21 Mn |
| Dec 31, 2016 | 1.00 Mn |
API Access
HealthLynked Total Non-Current 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-non-current-liabilities&ticker=HLYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=HLYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();