Bio-Techne (TECH) Inventory (2010 - 2026)
Bio-Techne's Inventory came in at $195.74 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.3% from $189.45 million a year earlier but down 2.7% from the prior quarter.
Bio-Techne (TECH) Inventory (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Bio-Techne's Inventory data covers 65 quarters.
- Inventory has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 10.9% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $189.45 million in FY2025 (+5.4%), $179.73 million in FY2024 (+4.7%), $171.64 million in FY2023 (+21.6%) and $141.12 million in FY2022 (+20.9%).
- The five-year range for quarterly Inventory is $117.37 million (fiscal Q1 2022) to $205.45 million (fiscal Q2 2026).
- Year-over-year, Inventory has increased for seven consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q3 2023 (growth of 32.1%), and the weakest in fiscal Q1 2025 (a decline of 0.6%).
- Business Quant data shows TECH's Inventory at $201.18 million (Q3 2026), $205.45 million (Q2 2026) and $203.19 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn | 195.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.74 Mn |
| Mar 31, 2026 | 201.18 Mn |
| Dec 31, 2025 | 205.45 Mn |
| Sep 30, 2025 | 203.19 Mn |
| Jun 30, 2025 | 189.45 Mn |
| Mar 31, 2025 | 191.08 Mn |
| Dec 31, 2024 | 188.37 Mn |
| Sep 30, 2024 | 185.04 Mn |
| Jun 30, 2024 | 179.73 Mn |
| Mar 31, 2024 | 179.50 Mn |
| Dec 31, 2023 | 180.84 Mn |
| Sep 30, 2023 | 186.08 Mn |
| Jun 30, 2023 | 171.64 Mn |
| Mar 31, 2023 | 169.46 Mn |
| Dec 31, 2022 | 160.23 Mn |
| Sep 30, 2022 | 150.01 Mn |
| Jun 30, 2022 | 141.12 Mn |
| Mar 31, 2022 | 128.28 Mn |
| Dec 31, 2021 | 121.86 Mn |
| Sep 30, 2021 | 117.37 Mn |
Bio-Techne Inventory 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=inventory&ticker=TECH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();