Bio-Techne (TECH) Change in Inventory (2009 - 2026)
Bio-Techne's Change in Inventory came in at -$4.28 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $6.6 million a year earlier.
Bio-Techne (TECH) Change in Inventory (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Bio-Techne's Change in Inventory was $8.23 million, down 54.6% from FY2025.
- Change in Inventory carries a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Going back by fiscal year, Change in Inventory was $18.14 million in FY2025 (+27.6%), $14.22 million in FY2024 (-52.9%), $30.17 million in FY2023 (-5.7%) and $32.01 million in FY2022 (+348.3%).
- The fiscal Q4 2026 figure represents the lowest quarterly Change in Inventory in data going back to fiscal Q1 2010.
- Year-over-year, Change in Inventory increased in three of the last five quarters, with growth averaging 84.4%.
- The fastest year-over-year change in Change in Inventory over five years came in fiscal Q4 2022 (growth of 428.0%), and the weakest in fiscal Q3 2024 (a decline of 99.8%).
- Business Quant data shows TECH's Change in Inventory at -$3.43 million (Q3 2026), $1.94 million (Q2 2026) and $14 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 23.50 Mn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn | -4.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.28 Mn |
| Mar 31, 2026 | -3.43 Mn |
| Dec 31, 2025 | 1.94 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 6.60 Mn |
| Mar 31, 2025 | -173,000.00 |
| Dec 31, 2024 | 8.91 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 4.62 Mn |
| Mar 31, 2024 | 22,000.00 |
| Dec 31, 2023 | 4.36 Mn |
| Sep 30, 2023 | 5.22 Mn |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 10.45 Mn |
| Dec 31, 2022 | 7.68 Mn |
| Sep 30, 2022 | 10.69 Mn |
| Jun 30, 2022 | 15.97 Mn |
| Mar 31, 2022 | 7.33 Mn |
| Dec 31, 2021 | 5.72 Mn |
| Sep 30, 2021 | 2.98 Mn |
Bio-Techne Change in 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=change-in-inventory&ticker=TECH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();