Bioventus (BVS) Total Liabilities (2020 - 2026)
Bioventus (BVS) recorded Total Liabilities of $395.93 million in Q2 2026, down 21.7% from $505.49 million a year earlier and down 4.9% from the prior quarter.
Bioventus (BVS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Bioventus reported Total Liabilities of $455.11 million, down 16.1% from FY2024.
- Annual Total Liabilities has declined for three straight years, though with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $542.35 million in FY2024 (-8.0%), $589.79 million in FY2023 (-38.6%), $960.43 million in FY2022 (+55.4%) and $618.21 million in FY2021 (+76.5%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2020.
- On a year-over-year basis, Total Liabilities has declined for 13 consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 123.2% in Q3 2022, against a decline of 38.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $416.27 million (Q1 2026), $455.11 million (Q4 2025) and $494.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Bioventus | 1.18 Bn | 1.07 Bn | 105.67 Mn | 395.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 395.93 Mn |
| Mar 28, 2026 | 416.27 Mn |
| Dec 31, 2025 | 455.11 Mn |
| Sep 27, 2025 | 494.34 Mn |
| Jun 28, 2025 | 505.49 Mn |
| Mar 29, 2025 | 505.94 Mn |
| Dec 31, 2024 | 542.35 Mn |
| Sep 28, 2024 | 582.66 Mn |
| Jun 29, 2024 | 603.11 Mn |
| Mar 30, 2024 | 576.81 Mn |
| Dec 31, 2023 | 589.79 Mn |
| Sep 30, 2023 | 584.65 Mn |
| Jul 1, 2023 | 603.62 Mn |
| Apr 1, 2023 | 647.04 Mn |
| Dec 31, 2022 | 960.43 Mn |
| Oct 1, 2022 | 946.99 Mn |
| Jul 2, 2022 | 616.70 Mn |
| Apr 2, 2022 | 603.33 Mn |
| Dec 31, 2021 | 618.21 Mn |
| Oct 2, 2021 | 424.29 Mn |
Bioventus 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=BVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BVS", "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=BVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();