Bio-Techne (TECH) Accumulated Expenses (2010 - 2026)
Bio-Techne's Accumulated Expenses came in at $20.46 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 20.3% from $25.66 million a year earlier but up 15.7% from the prior quarter.
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Analysis
Bio-Techne (TECH) Accumulated Expenses (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Bio-Techne's Accumulated Expenses data covers 65 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 6.0% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $25.66 million in FY2025 (+3.1%), $24.89 million in FY2024 (+67.2%), $14.88 million in FY2023 (-16.8%) and $17.89 million in FY2022 (+17.0%).
- The five-year range for quarterly Accumulated Expenses is $13.79 million (fiscal Q1 2023) to $27.54 million (fiscal Q2 2025).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2024 (growth of 67.2%), and the weakest in fiscal Q2 2026 (a decline of 26.2%).
- Business Quant data shows TECH's Accumulated Expenses at $17.68 million (Q3 2026), $20.34 million (Q2 2026) and $19.18 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Bio-Techne | 11.30 Bn | 10.51 Bn | 211.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.46 Mn |
| Mar 31, 2026 | 17.68 Mn |
| Dec 31, 2025 | 20.34 Mn |
| Sep 30, 2025 | 19.18 Mn |
| Jun 30, 2025 | 25.66 Mn |
| Mar 31, 2025 | 23.91 Mn |
| Dec 31, 2024 | 27.54 Mn |
| Sep 30, 2024 | 21.09 Mn |
| Jun 30, 2024 | 24.89 Mn |
| Mar 31, 2024 | 17.81 Mn |
| Dec 31, 2023 | 17.16 Mn |
| Sep 30, 2023 | 15.94 Mn |
| Jun 30, 2023 | 14.88 Mn |
| Mar 31, 2023 | 15.64 Mn |
| Dec 31, 2022 | 16.28 Mn |
| Sep 30, 2022 | 13.79 Mn |
| Jun 30, 2022 | 17.89 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Dec 31, 2021 | 18.99 Mn |
| Sep 30, 2021 | 17.42 Mn |
API Access
Bio-Techne Accumulated Expenses 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=accumulated-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();