Bio-Rad Laboratories (BIO) Intangibles (2009 - 2026)
Bio-Rad Laboratories (BIO) recorded Intangibles of $160 million in Q2 2026, down 59.7% from $396.9 million a year earlier and down 4.1% from the prior quarter.
Bio-Rad Laboratories (BIO) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Bio-Rad Laboratories reported Intangibles of $174.3 million, down 40.6% from FY2024.
- Annual Intangibles has declined for three straight years, with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $293.6 million in FY2024 (-8.4%), $320.5 million in FY2023 (-3.5%), $332.15 million in FY2022 (+30.8%) and $253.94 million in FY2021 (+27.3%).
- The Q2 2026 figure is the lowest quarterly Intangibles since Q1 2020.
- On a year-over-year basis, Intangibles has declined for three consecutive quarters, with an average decline of 13.1% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 83.6% in Q3 2022, against a decline of 59.7% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $166.8 million (Q1 2026), $174.3 million (Q4 2025) and $388.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Bio-Rad Laboratories | 10.15 Bn | 4.01 Bn | 345.80 Mn | 160.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.00 Mn |
| Mar 31, 2026 | 166.80 Mn |
| Dec 31, 2025 | 174.30 Mn |
| Sep 30, 2025 | 388.40 Mn |
| Jun 30, 2025 | 396.90 Mn |
| Mar 31, 2025 | 296.10 Mn |
| Dec 31, 2024 | 293.60 Mn |
| Sep 30, 2024 | 307.33 Mn |
| Jun 30, 2024 | 307.10 Mn |
| Mar 31, 2024 | 313.60 Mn |
| Dec 31, 2023 | 320.50 Mn |
| Sep 30, 2023 | 314.20 Mn |
| Jun 30, 2023 | 328.71 Mn |
| Mar 31, 2023 | 327.83 Mn |
| Dec 31, 2022 | 332.15 Mn |
| Sep 30, 2022 | 325.10 Mn |
| Jun 30, 2022 | 239.75 Mn |
| Mar 31, 2022 | 247.14 Mn |
| Dec 31, 2021 | 253.94 Mn |
| Sep 30, 2021 | 177.10 Mn |
Bio-Rad Laboratories Intangibles 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=intangibles&ticker=BIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();