Bio-Techne (TECH) EBITDA (2009 - 2026)
Bio-Techne (TECH) posted EBITDA of $98.42 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $3.25 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Bio-Techne (TECH) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Bio-Techne's EBITDA came in at $349.25 million, up 64.6% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In prior fiscal years, Bio-Techne's EBITDA was $212.16 million in FY2025 (-33.4%), $318.4 million in FY2024 (-21.6%), $406.18 million in FY2023 (+2.1%) and $397.66 million in FY2022 (+22.3%).
- Quarterly EBITDA has run from a low of $3.25 million in fiscal Q4 2025 to a high of $121.45 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, EBITDA increased in four of the last seven quarters, with an average decline of 9.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2026, with growth of 50.4%; the weakest was fiscal Q4 2025, with a decline of 95.6%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $99.66 million (Q3 2026), $79.17 million (Q2 2026) and $72 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn | 98.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.42 Mn |
| Mar 31, 2026 | 99.66 Mn |
| Dec 31, 2025 | 79.17 Mn |
| Sep 30, 2025 | 72.00 Mn |
| Jun 30, 2025 | 3.25 Mn |
| Mar 31, 2025 | 66.28 Mn |
| Dec 31, 2024 | 74.50 Mn |
| Sep 30, 2024 | 68.12 Mn |
| Jun 30, 2024 | 73.88 Mn |
| Mar 31, 2024 | 94.31 Mn |
| Dec 31, 2023 | 65.81 Mn |
| Sep 30, 2023 | 84.40 Mn |
| Jun 30, 2023 | 121.45 Mn |
| Mar 31, 2023 | 107.18 Mn |
| Dec 31, 2022 | 94.59 Mn |
| Sep 30, 2022 | 82.96 Mn |
| Jun 30, 2022 | 106.44 Mn |
| Mar 31, 2022 | 115.81 Mn |
| Dec 31, 2021 | 87.45 Mn |
| Sep 30, 2021 | 87.96 Mn |
API Access
Bio-Techne EBITDA 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=ebitda&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();