Bio-Techne (TECH) Non Operating Interest Expenses (2014 - 2026)
Bio-Techne (TECH) recorded Non Operating Interest Expenses of $2.12 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.5% from $2.18 million a year earlier and down 11.6% from the prior quarter.
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Analysis
Bio-Techne (TECH) Non Operating Interest Expenses (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Bio-Techne reported Non Operating Interest Expenses of $9.63 million, up 13.2% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $8.51 million in FY2025 (-45.9%), $15.74 million in FY2024 (+40.3%), $11.22 million in FY2023 (-0.8%) and $11.31 million in FY2022 (-18.9%).
- The fiscal Q4 2026 figure is the lowest quarterly Non Operating Interest Expenses since fiscal Q3 2025.
- On a year-over-year basis, Non Operating Interest Expenses rose in three of the last eight quarters, with an average decline of 14.5%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 193.0% in fiscal Q3 2024, against a decline of 55.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.4 million (Q3 2026), $2.17 million (Q2 2026) and $2.93 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Bio-Techne | 11.30 Bn | 10.51 Bn | 211.39 Mn | 2.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 Mn |
| Mar 31, 2026 | 2.40 Mn |
| Dec 31, 2025 | 2.17 Mn |
| Sep 30, 2025 | 2.93 Mn |
| Jun 30, 2025 | 2.18 Mn |
| Mar 31, 2025 | 2.01 Mn |
| Dec 31, 2024 | 2.15 Mn |
| Sep 30, 2024 | 2.18 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 4.01 Mn |
| Dec 31, 2023 | 4.33 Mn |
| Sep 30, 2023 | 4.89 Mn |
| Jun 30, 2023 | 3.70 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 2.36 Mn |
| Sep 30, 2022 | 3.79 Mn |
| Jun 30, 2022 | 2.51 Mn |
| Mar 31, 2022 | 2.49 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 3.41 Mn |
API Access
Bio-Techne Non Operating Interest 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=non-operating-interest-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();