Bioventus (BVS) Total Current Liabilities (2019 - 2026)
Bioventus' Total Current Liabilities was $157.7 million in Q3 2026, down 2.5% from $161.75 million a year earlier but up 3.4% from the prior quarter.
Bioventus (BVS) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Bioventus came in at $160.38 million, down 23.8% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $210.4 million in FY2024 (+19.9%), $175.5 million in FY2023 (-42.3%), $304.02 million in FY2022 (+68.1%) and $180.86 million in FY2021 (+47.5%).
- Quarterly Total Current Liabilities has moved between $148.1 million (Q1 2026) and $304.02 million (Q4 2022) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for six straight quarters, with an average decline of 10.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2022 (growth of 79.4%); the worst was Q3 2023 (a decline of 44.2%).
- Per Business Quant data, BVS's Total Current Liabilities in the three quarters before Q3 2026 was $152.45 million (Q2 2026), $148.1 million (Q1 2026) and $160.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Bioventus | 942.04 Mn | 846.16 Mn | 97.13 Mn | 157.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 157.70 Mn |
| Jun 27, 2026 | 152.45 Mn |
| Mar 28, 2026 | 148.10 Mn |
| Dec 31, 2025 | 160.38 Mn |
| Sep 27, 2025 | 161.75 Mn |
| Jun 28, 2025 | 185.68 Mn |
| Mar 29, 2025 | 174.75 Mn |
| Dec 31, 2024 | 210.40 Mn |
| Sep 28, 2024 | 211.49 Mn |
| Jun 29, 2024 | 231.46 Mn |
| Mar 30, 2024 | 173.32 Mn |
| Dec 31, 2023 | 175.50 Mn |
| Sep 30, 2023 | 160.84 Mn |
| Jul 1, 2023 | 179.10 Mn |
| Apr 1, 2023 | 196.06 Mn |
| Dec 31, 2022 | 304.02 Mn |
| Oct 1, 2022 | 288.37 Mn |
| Jul 2, 2022 | 198.87 Mn |
| Apr 2, 2022 | 171.52 Mn |
| Dec 31, 2021 | 180.86 Mn |
Bioventus Total Current 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-current-liabilities&ticker=BVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=BVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();