HealthLynked (HLYK) Change in Accured Expenses (2016 - 2026)
HealthLynked's Change in Accured Expenses came in at $128,491 for Q2 2026, up 41.5% from $90,810 a year earlier but down 21.5% from the prior quarter.
HealthLynked (HLYK) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, HealthLynked reported Change in Accured Expenses of $413,643, up 124.4% year-over-year; for FY2025, it came in at $424,365, up 498.4% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $70,911 in FY2024, -$780,239 in FY2023, $701,605 in FY2022 and -$138,716 in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$939,448 (Q4 2021) to $891,221 (Q3 2021).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 36.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2025 (growth of 138.0%), and the weakest in Q3 2022 (a decline of 82.9%).
- Business Quant data shows HLYK's Change in Accured Expenses at $163,769 (Q1 2026), $35,497 (Q4 2025) and $85,886 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | HealthLynked | 6.79 Mn | 6.71 Mn | - | 128,491.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128,491.00 |
| Mar 31, 2026 | 163,769.00 |
| Dec 31, 2025 | 35,497.00 |
| Sep 30, 2025 | 85,886.00 |
| Jun 30, 2025 | 90,810.00 |
| Mar 31, 2025 | 212,172.00 |
| Dec 31, 2024 | -39,638.00 |
| Sep 30, 2024 | -79,042.00 |
| Jun 30, 2024 | 100,442.00 |
| Mar 31, 2024 | 89,149.00 |
| Dec 31, 2023 | -272,831.00 |
| Sep 30, 2023 | -384,632.00 |
| Jun 30, 2023 | 96,288.00 |
| Mar 31, 2023 | -219,064.00 |
| Dec 31, 2022 | 388,010.00 |
| Sep 30, 2022 | 152,566.00 |
| Jun 30, 2022 | 174,455.00 |
| Mar 31, 2022 | -13,426.00 |
| Dec 31, 2021 | -939,448.00 |
| Sep 30, 2021 | 891,221.00 |
HealthLynked Change in Accured Expenses 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=change-in-accured-expenses&ticker=HLYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=HLYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();