Bio-Techne (TECH) Cash & Equivalents (2009 - 2026)
Bio-Techne (TECH) reported Cash & Equivalents of $264.71 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 63.2% from $162.19 million a year earlier and up 26.2% from the prior quarter.
Bio-Techne (TECH) Cash & Equivalents (2009 - 2026) Analysis & Trends
Dating back to fiscal Q1 2010, Bio-Techne's Cash & Equivalents record includes 68 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $162.19 million in FY2025 (+6.8%), $151.79 million in FY2024 (-15.9%), $180.57 million in FY2023 (+4.6%) and $172.57 million in FY2022 (-13.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cash & Equivalents since fiscal Q4 2014.
- Year over year, Cash & Equivalents gained in six of the last eight quarters, with growth averaging 19.6%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2026 (growth of 63.2%); the low point was fiscal Q1 2026 (a decline of 22.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $209.82 million (Q3 2026), $172.88 million (Q2 2026) and $144.96 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Bio-Techne | 11.31 Bn | 10.52 Bn | 211.39 Mn | 264.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.71 Mn |
| Mar 31, 2026 | 209.82 Mn |
| Dec 31, 2025 | 172.88 Mn |
| Sep 30, 2025 | 144.96 Mn |
| Jun 30, 2025 | 162.19 Mn |
| Mar 31, 2025 | 140.67 Mn |
| Dec 31, 2024 | 177.55 Mn |
| Sep 30, 2024 | 187.54 Mn |
| Jun 30, 2024 | 151.79 Mn |
| Mar 31, 2024 | 139.92 Mn |
| Dec 31, 2023 | 130.13 Mn |
| Sep 30, 2023 | 148.66 Mn |
| Jun 30, 2023 | 180.57 Mn |
| Mar 31, 2023 | 127.28 Mn |
| Dec 31, 2022 | 164.68 Mn |
| Sep 30, 2022 | 165.26 Mn |
| Jun 30, 2022 | 172.57 Mn |
| Mar 31, 2022 | 160.82 Mn |
| Dec 31, 2021 | 211.85 Mn |
| Sep 30, 2021 | 196.32 Mn |
Bio-Techne Cash & Equivalents 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=cash-and-equivalents&ticker=TECH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();