Bio-Techne (TECH) Intangibles (2010 - 2026)
Bio-Techne (TECH) reported Intangibles of $303.47 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 17.0% from $365.6 million a year earlier and down 4.9% from the prior quarter.
Bio-Techne (TECH) Intangibles (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Bio-Techne's Intangibles record includes 65 quarters.
- Intangibles has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -13.2% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $365.6 million in FY2025 (-27.9%), $507.08 million in FY2024 (-5.2%), $534.65 million in FY2023 (+0.6%) and $531.52 million in FY2022 (-13.7%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Intangibles since fiscal Q4 2015.
- Year over year, Intangibles has now declined in each of the last 12 quarters, with an average decline of 22.0% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q1 2022 (growth of 21.4%); the low point was fiscal Q3 2026 (a decline of 28.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $319.07 million (Q3 2026), $334.99 million (Q2 2026) and $350.11 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn | 303.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303.47 Mn |
| Mar 31, 2026 | 319.07 Mn |
| Dec 31, 2025 | 334.99 Mn |
| Sep 30, 2025 | 350.11 Mn |
| Jun 30, 2025 | 365.60 Mn |
| Mar 31, 2025 | 443.70 Mn |
| Dec 31, 2024 | 461.05 Mn |
| Sep 30, 2024 | 486.00 Mn |
| Jun 30, 2024 | 507.08 Mn |
| Mar 31, 2024 | 526.43 Mn |
| Dec 31, 2023 | 550.61 Mn |
| Sep 30, 2023 | 578.97 Mn |
| Jun 30, 2023 | 534.65 Mn |
| Mar 31, 2023 | 553.26 Mn |
| Dec 31, 2022 | 567.65 Mn |
| Sep 30, 2022 | 585.53 Mn |
| Jun 30, 2022 | 531.52 Mn |
| Mar 31, 2022 | 551.34 Mn |
| Dec 31, 2021 | 569.35 Mn |
| Sep 30, 2021 | 615.97 Mn |
Bio-Techne 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=TECH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "TECH", "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=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();