Bio-Techne (TECH) Other Non-Current Liabilities (2014 - 2026)
Bio-Techne (TECH) posted Other Non-Current Liabilities of $21.35 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.2% from $27.08 million a year earlier and down 1.5% from the prior quarter.
Bio-Techne (TECH) Other Non-Current Liabilities (2014 - 2026) Analysis & Trends
Since fiscal Q1 2015, Bio-Techne has reported Other Non-Current Liabilities for 48 quarters.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -3.4% (FY2021 to FY2026).
- In prior fiscal years, Bio-Techne's Other Non-Current Liabilities was $27.08 million in FY2025 (+105.8%), $13.16 million in FY2024 (+20.5%), $10.92 million in FY2023 (-10.8%) and $12.24 million in FY2022 (-51.8%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Other Non-Current Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Other Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 44.8%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q1 2025, with growth of 110.7%; the weakest was fiscal Q2 2022, with a decline of 54.5%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $21.67 million (Q3 2026), $23.08 million (Q2 2026) and $23.81 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.35 Mn |
| Mar 31, 2026 | 21.67 Mn |
| Dec 31, 2025 | 23.08 Mn |
| Sep 30, 2025 | 23.81 Mn |
| Jun 30, 2025 | 27.08 Mn |
| Mar 31, 2025 | 15.66 Mn |
| Dec 31, 2024 | 11.34 Mn |
| Sep 30, 2024 | 19.79 Mn |
| Jun 30, 2024 | 13.16 Mn |
| Mar 31, 2024 | 11.56 Mn |
| Dec 31, 2023 | 17.36 Mn |
| Sep 30, 2023 | 9.39 Mn |
| Jun 30, 2023 | 10.92 Mn |
| Mar 31, 2023 | 10.97 Mn |
| Dec 31, 2022 | 11.34 Mn |
| Sep 30, 2022 | 11.50 Mn |
| Jun 30, 2022 | 12.24 Mn |
| Mar 31, 2022 | 12.77 Mn |
| Dec 31, 2021 | 11.75 Mn |
| Sep 30, 2021 | 20.05 Mn |
Bio-Techne Other Non-Current 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=other-non-current-liabilities&ticker=TECH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();