CVRx (CVRX) Total Liabilities (2020 - 2026)
CVRx (CVRX) posted Total Liabilities of $73.79 million for Q3 2026, up 16.6% from $63.27 million a year earlier and up 2.0% from the prior quarter.
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Analysis
CVRx (CVRX) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, CVRx's Total Liabilities came in at $65.47 million, up 5.0% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -28.8% (FY2020 to FY2025).
- In prior years, CVRx's Total Liabilities was $62.36 million in FY2024 (+58.7%), $39.28 million in FY2023 (+149.3%), $15.76 million in FY2022 (+139.1%) and $6.59 million in FY2021 (-98.2%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last 16 quarters, with growth averaging 27.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 262.9%; the weakest was Q4 2021, with a decline of 98.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $72.33 million (Q2 2026), $70.62 million (Q1 2026) and $65.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 20.79 Bn |
| 10 | CVRx | 17.38 Mn | -253.97 Mn | 12.00 Mn | 73.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.79 Mn |
| Jun 30, 2026 | 72.33 Mn |
| Mar 31, 2026 | 70.62 Mn |
| Dec 31, 2025 | 65.47 Mn |
| Sep 30, 2025 | 63.27 Mn |
| Jun 30, 2025 | 61.63 Mn |
| Mar 31, 2025 | 60.23 Mn |
| Dec 31, 2024 | 62.36 Mn |
| Sep 30, 2024 | 62.49 Mn |
| Jun 30, 2024 | 40.73 Mn |
| Mar 31, 2024 | 39.91 Mn |
| Dec 31, 2023 | 39.28 Mn |
| Sep 30, 2023 | 23.58 Mn |
| Jun 30, 2023 | 25.01 Mn |
| Mar 31, 2023 | 23.05 Mn |
| Dec 31, 2022 | 15.76 Mn |
| Sep 30, 2022 | 8.33 Mn |
| Jun 30, 2022 | 6.89 Mn |
| Mar 31, 2022 | 7.60 Mn |
| Dec 31, 2021 | 6.59 Mn |
API Access
CVRx Total 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-liabilities&ticker=CVRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CVRX", "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-liabilities&ticker=CVRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();