Bio-Rad Laboratories (BIO) Total Non-Current Liabilities (2009 - 2026)
Bio-Rad Laboratories' Total Non-Current Liabilities came in at $2.88 billion for Q2 2026, up 0.1% from $2.88 billion a year earlier and up 5.1% from the prior quarter.
Bio-Rad Laboratories (BIO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Bio-Rad Laboratories' Total Non-Current Liabilities was $2.92 billion, up 11.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.62 billion in FY2024 (-22.2%), $3.36 billion in FY2023 (-8.9%), $3.69 billion in FY2022 (-6.1%) and $3.93 billion in FY2021 (+36.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $2.62 billion (Q4 2024) to $4.41 billion (Q3 2021).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 46.2%), and the weakest in Q3 2022 (a decline of 23.4%).
- Business Quant data shows BIO's Total Non-Current Liabilities at $2.74 billion (Q1 2026), $2.92 billion (Q4 2025) and $2.75 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Bio-Rad Laboratories | 9.69 Bn | 3.54 Bn | 345.80 Mn | 2.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.88 Bn |
| Mar 31, 2026 | 2.74 Bn |
| Dec 31, 2025 | 2.92 Bn |
| Sep 30, 2025 | 2.75 Bn |
| Jun 30, 2025 | 2.88 Bn |
| Mar 31, 2025 | 2.67 Bn |
| Dec 31, 2024 | 2.62 Bn |
| Sep 30, 2024 | 2.92 Bn |
| Jun 30, 2024 | 2.72 Bn |
| Mar 31, 2024 | 3.37 Bn |
| Dec 31, 2023 | 3.36 Bn |
| Sep 30, 2023 | 3.29 Bn |
| Jun 30, 2023 | 3.33 Bn |
| Mar 31, 2023 | 3.70 Bn |
| Dec 31, 2022 | 3.69 Bn |
| Sep 30, 2022 | 3.38 Bn |
| Jun 30, 2022 | 3.56 Bn |
| Mar 31, 2022 | 3.99 Bn |
| Dec 31, 2021 | 3.93 Bn |
| Sep 30, 2021 | 4.41 Bn |
Bio-Rad Laboratories 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=BIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BIO", "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=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();