Bio-Techne (TECH) Change in Accured Expenses (2009 - 2026)
Bio-Techne (TECH) reported Change in Accured Expenses of $3.53 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.7% from $3.4 million a year earlier but down 62.9% from the prior quarter.
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Analysis
Bio-Techne (TECH) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Bio-Techne posted Change in Accured Expenses of -$7.67 million.
- By fiscal year, Change in Accured Expenses came in at $15.41 million in FY2025 (-40.2%), $25.77 million in FY2024, -$24.56 million in FY2023 and $12.74 million in FY2022 (-38.0%).
- Five-year quarterly Change in Accured Expenses spans a low of -$28.36 million in fiscal Q1 2023 and a high of $21.64 million in fiscal Q3 2022.
- Year over year, Change in Accured Expenses gained in four of the last six quarters, with growth averaging 48.0%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2025 (growth of 356.1%); the low point was fiscal Q2 2026 (a decline of 90.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $9.51 million (Q3 2026), $1.39 million (Q2 2026) and -$22.1 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Bio-Techne | 11.31 Bn | 10.52 Bn | 211.39 Mn | 3.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.53 Mn |
| Mar 31, 2026 | 9.51 Mn |
| Dec 31, 2025 | 1.39 Mn |
| Sep 30, 2025 | -22.10 Mn |
| Jun 30, 2025 | 3.40 Mn |
| Mar 31, 2025 | 8.12 Mn |
| Dec 31, 2024 | 14.79 Mn |
| Sep 30, 2024 | -10.91 Mn |
| Jun 30, 2024 | 18.61 Mn |
| Mar 31, 2024 | 1.78 Mn |
| Dec 31, 2023 | 8.08 Mn |
| Sep 30, 2023 | -2.70 Mn |
| Jun 30, 2023 | -1.80 Mn |
| Mar 31, 2023 | 10.51 Mn |
| Dec 31, 2022 | -4.91 Mn |
| Sep 30, 2022 | -28.36 Mn |
| Jun 30, 2022 | 1.51 Mn |
| Mar 31, 2022 | 21.64 Mn |
| Dec 31, 2021 | 8.53 Mn |
| Sep 30, 2021 | -18.93 Mn |
API Access
Bio-Techne Change in Accured 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=change-in-accured-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();