Catheter Precision (VTAK) Accumulated Expenses (2017 - 2026)
Catheter Precision (VTAK) posted Accumulated Expenses of $1.98 million for Q2 2026, up 29.3% from $1.53 million a year earlier but down 14.8% from the prior quarter.
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Analysis
Catheter Precision (VTAK) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Catheter Precision's Accumulated Expenses came in at $1.7 million, up 9.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -16.4% (FY2020 to FY2025).
- In prior years, Catheter Precision's Accumulated Expenses was $1.55 million in FY2024 (-10.7%), $1.73 million in FY2023 (-76.8%), $7.48 million in FY2022 (+81.7%) and $4.12 million in FY2021 (-0.7%).
- Quarterly Accumulated Expenses has run from a low of $1.5 million in Q3 2024 to a high of $7.48 million in Q4 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 5.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 81.7%; the weakest was Q4 2023, with a decline of 76.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.33 million (Q1 2026), $1.7 million (Q4 2025) and $1.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Catheter Precision | 415,116.02 | -4.46 Mn | 98,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | 2.33 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 1.56 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 1.63 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.64 Mn |
| Dec 31, 2023 | 1.73 Mn |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 3.82 Mn |
| Dec 31, 2022 | 7.48 Mn |
| Sep 30, 2022 | 2.45 Mn |
| Mar 31, 2022 | 2.27 Mn |
| Dec 31, 2021 | 4.12 Mn |
| Sep 30, 2021 | 2.63 Mn |
| Jun 30, 2021 | 2.02 Mn |
API Access
Catheter Precision Accumulated 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=accumulated-expenses&ticker=VTAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VTAK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=VTAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();