Bioventus (BVS) Total Non-Current Liabilities (2019 - 2026)
Bioventus (BVS) recorded Total Non-Current Liabilities of $369.35 million in Q3 2026, down 22.1% from $473.87 million a year earlier and down 3.5% from the prior quarter.
Bioventus (BVS) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Bioventus reported Total Non-Current Liabilities of $439.76 million, down 15.3% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, though with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $519.25 million in FY2024 (-4.5%), $543.71 million in FY2023 (-40.9%), $920.19 million in FY2022 (+58.6%) and $580.15 million in FY2021 (+76.6%).
- The Q3 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q1 2021.
- On a year-over-year basis, Total Non-Current Liabilities has declined for eight consecutive quarters, with an average decline of 14.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 126.7% in Q3 2022, against a decline of 40.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $382.72 million (Q2 2026), $401.99 million (Q1 2026) and $439.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 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 | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Bioventus | 942.04 Mn | 846.16 Mn | 97.13 Mn | 369.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 369.35 Mn |
| Jun 27, 2026 | 382.72 Mn |
| Mar 28, 2026 | 401.99 Mn |
| Dec 31, 2025 | 439.76 Mn |
| Sep 27, 2025 | 473.87 Mn |
| Jun 28, 2025 | 484.21 Mn |
| Mar 29, 2025 | 483.95 Mn |
| Dec 31, 2024 | 519.25 Mn |
| Sep 28, 2024 | 556.51 Mn |
| Jun 29, 2024 | 576.18 Mn |
| Mar 30, 2024 | 530.05 Mn |
| Dec 31, 2023 | 543.71 Mn |
| Sep 30, 2023 | 535.88 Mn |
| Jul 1, 2023 | 553.67 Mn |
| Apr 1, 2023 | 600.68 Mn |
| Dec 31, 2022 | 920.19 Mn |
| Oct 1, 2022 | 840.81 Mn |
| Jul 2, 2022 | 577.31 Mn |
| Apr 2, 2022 | 563.69 Mn |
| Dec 31, 2021 | 580.15 Mn |
Bioventus Total Non-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-non-current-liabilities&ticker=BVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=BVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();