HealthLynked (HLYK) Return on Capital Employed [ROCE] (2020 - 2024)
HealthLynked (HLYK) posted Return on Capital Employed [ROCE] of -949.80% for Q2 2024, down 650.28 percentage points from -299.52% a year earlier and down 642.54 percentage points from the prior quarter.
HealthLynked (HLYK) Return on Capital Employed [ROCE] (2020 - 2024) Analysis & Trends
For FY2023, HealthLynked's Return on Capital Employed [ROCE] came in at -205.69%, up 2.32 percentage points from FY2022.
- Annual Return on Capital Employed [ROCE] shows a three-year change of +553.18 percentage points (FY2020 to FY2023).
- In prior years, HealthLynked's Return on Capital Employed [ROCE] was -208.01% in FY2022 (-136.38 pp), -71.63% in FY2021 (+687.24 pp) and -758.87% in FY2020.
- The Q2 2024 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2020.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -186.05 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2021, with a gain of 441.22 percentage points; the weakest was Q2 2024, with a drop of 650.28 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -307.26% (Q1 2024), -161.38% (Q4 2023) and -319.97% (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | HealthLynked | 6.79 Mn | 6.71 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -949.80% |
| Mar 31, 2024 | -307.26% |
| Dec 31, 2023 | -161.38% |
| Sep 30, 2023 | -319.97% |
| Jun 30, 2023 | -299.52% |
| Mar 31, 2023 | -401.92% |
| Dec 31, 2022 | -338.93% |
| Sep 30, 2022 | -122.38% |
| Jun 30, 2022 | -81.75% |
| Mar 31, 2022 | -64.05% |
| Dec 31, 2021 | -53.79% |
| Sep 30, 2021 | -50.38% |
| Jun 30, 2021 | -55.74% |
| Mar 31, 2021 | -58.84% |
| Dec 31, 2020 | -163.43% |
| Sep 30, 2020 | -491.60% |
HealthLynked Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=HLYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=HLYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();