Bio-Techne (TECH) Operating Expenses (2009 - 2026)
Bio-Techne (TECH) posted Operating Expenses of $137.12 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 38.4% from $222.67 million a year earlier but up 3.3% from the prior quarter.
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Analysis
Bio-Techne (TECH) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Bio-Techne's Operating Expenses came in at $547.18 million, down 20.5% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- In prior fiscal years, Bio-Techne's Operating Expenses was $688.02 million in FY2025 (+22.2%), $563.04 million in FY2024 (+19.6%), $470.87 million in FY2023 (+2.4%) and $459.91 million in FY2022 (+16.3%).
- Quarterly Operating Expenses has run from a low of $107.78 million in fiscal Q1 2022 to a high of $222.67 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2024, with growth of 43.0%; the weakest was fiscal Q4 2026, with a decline of 38.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $132.79 million (Q3 2026), $136.82 million (Q2 2026) and $140.45 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn | 137.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.12 Mn |
| Mar 31, 2026 | 132.79 Mn |
| Dec 31, 2025 | 136.82 Mn |
| Sep 30, 2025 | 140.45 Mn |
| Jun 30, 2025 | 222.67 Mn |
| Mar 31, 2025 | 175.85 Mn |
| Dec 31, 2024 | 146.47 Mn |
| Sep 30, 2024 | 143.03 Mn |
| Jun 30, 2024 | 157.53 Mn |
| Mar 31, 2024 | 137.60 Mn |
| Dec 31, 2023 | 138.58 Mn |
| Sep 30, 2023 | 129.33 Mn |
| Jun 30, 2023 | 110.17 Mn |
| Mar 31, 2023 | 121.95 Mn |
| Dec 31, 2022 | 115.47 Mn |
| Sep 30, 2022 | 123.28 Mn |
| Jun 30, 2022 | 119.78 Mn |
| Mar 31, 2022 | 111.01 Mn |
| Dec 31, 2021 | 121.34 Mn |
| Sep 30, 2021 | 107.78 Mn |
API Access
Bio-Techne Operating 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=operating-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();