HealthLynked (HLYK) Operating Expenses (2016 - 2026)
HealthLynked's Operating Expenses was $788,606 in Q2 2026, down 23.3% from $1.03 million a year earlier and down 29.9% from the prior quarter.
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Analysis
HealthLynked (HLYK) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, HealthLynked's Operating Expenses was $3.67 million through Jun 30, 2026, down 39.3% year-over-year; for FY2025, it came in at $4.18 million, down 45.6% from FY2024.
- Operating Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $7.69 million in FY2024 (-22.2%), $9.87 million in FY2023 (-32.0%), $14.52 million in FY2022 (+22.7%) and $11.83 million in FY2021 (+28.5%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q2 2016.
- Compared with a year earlier, Operating Expenses has declined for 14 straight quarters, with an average decline of 33.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 581.6%); the worst was Q4 2021 (a decline of 69.2%).
- Per Business Quant data, HLYK's Operating Expenses in the three quarters before Q2 2026 was $1.12 million (Q1 2026), $841,073 (Q4 2025) and $918,131 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | HealthLynked | 5.82 Mn | 5.73 Mn | - | 788,606.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 788,606.00 |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 841,073.00 |
| Sep 30, 2025 | 918,131.00 |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 1.39 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 1.87 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 2.52 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Dec 31, 2022 | 5.56 Mn |
| Sep 30, 2022 | 2.89 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 2.98 Mn |
| Dec 31, 2021 | 815,063.00 |
| Sep 30, 2021 | 4.54 Mn |
API Access
HealthLynked Operating 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=operating-expenses&ticker=HLYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HLYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();