Bio-Techne Corporation TECH
Revenue Intelligence Report • 50 quarters of SEC filing data • Updated 2026-03-15
Bio-Techne Corporation has a forecasted full-year revenue of $1.3B, a +7.8% year-over-year change, based on 50 quarters of SEC filing data. Key revenue drivers include SG&A (elasticity 0.41x). The ARDL model achieves strong accuracy at 3.2% MAPE.
Investment Thesis
The econometric model achieves strong accuracy (3.2% MAPE), suggesting Bio-Techne Corporation's revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 0.41x elasticity, suggesting effective go-to-market execution.
Next FY Revenue
$1.29B
+7.8% YoY
SG&A Elasticity
0.41x
Model Accuracy
3.2% MAPE
Holdout validation: The model predicted $301B vs the actual $296B — an error of 1.6%.
Note:
Bio-Techne Corporation does not report R&D expenses separately. This analysis uses SG&A spending only.
Revenue Forecast
Quarterly Detail
| Quarter | Model Forecast | Actual | 95% Range | YoY Growth | Status |
|---|---|---|---|---|---|
| Q4 2025 | $301B | $296B | $278B – $325B | +3.9% | ✓ In range |
| Q2 2026 | $316B | $282B – $353B | +6.2% | ||
| Q3 2026 | $317B | $276B – $363B | +0.2% | ||
| Q4 2026 | $321B | $275B – $376B | +12.1% | ||
| Q1 2027 | $335B | $281B – $399B | +13.2% |
Seasonal Factors
Multiplicative seasonal adjustment:
These factors capture Bio-Techne Corporation's systematic quarterly revenue patterns relative to the trend model.
A factor of 1.05 means that quarter typically runs 5% above the underlying trend; 0.95 means 5% below.
Factors are computed as the median of (actual / fitted) across all available quarters.
| Fiscal Quarter | Seasonal Factor | vs Trend | Interpretation | Obs. |
|---|---|---|---|---|
| FQ1 (Sep–Nov) | 0.986 | -1.4% | In line with trend | 15 |
| FQ2 (Dec–Feb) | 1.0072 | +0.7% | In line with trend | 16 |
| FQ3 (Mar–May) | 1.0058 | +0.6% | In line with trend | 15 |
| FQ4 (Jun–Aug) | 1.0 | +0.0% | In line with trend | 0 |
How Spending Drives Revenue
Reading this chart:
Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.
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