Alpha Teknova (TKNO) Intangibles (2020 - 2026)
Alpha Teknova's Intangibles was $11.37 million in Q2 2026, down 9.2% from $12.52 million a year earlier and down 2.5% from the prior quarter.
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Analysis
Alpha Teknova (TKNO) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Alpha Teknova came in at $11.94 million, down 8.8% from FY2024.
- Intangibles has now declined for five consecutive years, with a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- In earlier years, Intangibles was $13.09 million in FY2024 (-8.1%), $14.24 million in FY2023 (-18.9%), $17.56 million in FY2022 (-6.1%) and $18.7 million in FY2021 (-5.8%).
- The Q2 2026 figure marks the lowest quarterly Intangibles in data going back to Q4 2020.
- Compared with a year earlier, Intangibles has declined for 17 straight quarters, with an average decline of 10.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Intangibles ranged from 5.8% (Q4 2021) to 19.9% (Q3 2024).
- Per Business Quant data, TKNO's Intangibles in the three quarters before Q2 2026 was $11.66 million (Q1 2026), $11.94 million (Q4 2025) and $12.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Alpha Teknova | 493.88 Mn | 415.21 Mn | 4.89 Mn | 11.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.37 Mn |
| Mar 31, 2026 | 11.66 Mn |
| Dec 31, 2025 | 11.94 Mn |
| Sep 30, 2025 | 12.23 Mn |
| Jun 30, 2025 | 12.52 Mn |
| Mar 31, 2025 | 12.80 Mn |
| Dec 31, 2024 | 13.09 Mn |
| Sep 30, 2024 | 13.38 Mn |
| Jun 30, 2024 | 13.67 Mn |
| Mar 31, 2024 | 13.95 Mn |
| Dec 31, 2023 | 14.24 Mn |
| Sep 30, 2023 | 16.70 Mn |
| Jun 30, 2023 | 16.98 Mn |
| Mar 31, 2023 | 17.27 Mn |
| Dec 31, 2022 | 17.56 Mn |
| Sep 30, 2022 | 17.84 Mn |
| Jun 30, 2022 | 18.13 Mn |
| Mar 31, 2022 | 18.42 Mn |
| Dec 31, 2021 | 18.70 Mn |
| Sep 30, 2021 | 18.99 Mn |
API Access
Alpha Teknova Intangibles 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=intangibles&ticker=TKNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "TKNO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();