Bio-Techne (TECH) Total Liabilities (2010 - 2026)
Bio-Techne's Total Liabilities came in at $478.51 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 25.1% from $639.06 million a year earlier but up 2.8% from the prior quarter.
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Analysis
Bio-Techne (TECH) Total Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Bio-Techne's Total Liabilities data covers 65 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $639.06 million in FY2025 (+0.6%), $635.02 million in FY2024 (-5.5%), $672.18 million in FY2023 (+13.2%) and $593.79 million in FY2022 (-14.2%).
- The five-year range for quarterly Total Liabilities is $465.3 million (fiscal Q3 2026) to $767.19 million (fiscal Q2 2024).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with an average decline of 15.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2024 (growth of 43.1%), and the weakest in fiscal Q3 2026 (a decline of 25.7%).
- Business Quant data shows TECH's Total Liabilities at $465.3 million (Q3 2026), $511.71 million (Q2 2026) and $560.33 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn | 478.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 478.51 Mn |
| Mar 31, 2026 | 465.30 Mn |
| Dec 31, 2025 | 511.71 Mn |
| Sep 30, 2025 | 560.33 Mn |
| Jun 30, 2025 | 639.06 Mn |
| Mar 31, 2025 | 626.23 Mn |
| Dec 31, 2024 | 591.93 Mn |
| Sep 30, 2024 | 597.37 Mn |
| Jun 30, 2024 | 635.02 Mn |
| Mar 31, 2024 | 706.80 Mn |
| Dec 31, 2023 | 767.19 Mn |
| Sep 30, 2023 | 757.61 Mn |
| Jun 30, 2023 | 672.18 Mn |
| Mar 31, 2023 | 710.01 Mn |
| Dec 31, 2022 | 536.30 Mn |
| Sep 30, 2022 | 599.57 Mn |
| Jun 30, 2022 | 593.79 Mn |
| Mar 31, 2022 | 586.57 Mn |
| Dec 31, 2021 | 602.32 Mn |
| Sep 30, 2021 | 623.23 Mn |
API Access
Bio-Techne Total Liabilities 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=total-liabilities&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();