Alpha Teknova (TKNO) Enterprise Value (2021 - 2026)
Alpha Teknova's Enterprise Value was $287.48 million in Q2 2026, up 20.4% from $238.76 million a year earlier and up 109.6% from the prior quarter.
Alpha Teknova (TKNO) Enterprise Value (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alpha Teknova's Enterprise Value was $226.24 million through Jun 30, 2026, up 50.4% year-over-year; for FY2025, it came in at $182.2 million, down 56.2% from FY2024.
- Enterprise Value shows a four-year compound annual growth rate of -6.8% (FY2021 to FY2025).
- In earlier years, Enterprise Value was $415.58 million in FY2024 (+360.7%), $90.2 million in FY2023 (-22.7%), $116.7 million in FY2022 (-51.8%) and $241.96 million in FY2021.
- Quarterly Enterprise Value has moved between $37.46 million (Q2 2024) and $599.2 million (Q3 2021) over five years.
- Compared with a year earlier, Enterprise Value was higher in six of the last eight quarters, with growth averaging 172.9%.
- The best year-over-year quarter for Enterprise Value over five years was Q2 2025 (growth of 537.4%); the worst was Q3 2022 (a decline of 92.6%).
- Per Business Quant data, TKNO's Enterprise Value in the three quarters before Q2 2026 was $137.15 million (Q1 2026), $182.2 million (Q4 2025) and $309.2 million (Q3 2025).
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 | Alpha Teknova | 493.88 Mn | 415.21 Mn | 4.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.48 Mn |
| Mar 31, 2026 | 137.15 Mn |
| Dec 31, 2025 | 182.20 Mn |
| Sep 30, 2025 | 309.20 Mn |
| Jun 30, 2025 | 238.76 Mn |
| Mar 31, 2025 | 251.07 Mn |
| Dec 31, 2024 | 415.58 Mn |
| Sep 30, 2024 | 226.30 Mn |
| Jun 30, 2024 | 37.46 Mn |
| Mar 31, 2024 | 86.58 Mn |
| Dec 31, 2023 | 90.20 Mn |
| Sep 30, 2023 | 51.48 Mn |
| Jun 30, 2023 | 51.96 Mn |
| Mar 31, 2023 | 53.23 Mn |
| Dec 31, 2022 | 116.70 Mn |
| Sep 30, 2022 | 44.10 Mn |
| Jun 30, 2022 | 171.14 Mn |
| Mar 31, 2022 | 310.81 Mn |
| Dec 31, 2021 | 241.96 Mn |
| Sep 30, 2021 | 599.20 Mn |
Alpha Teknova Enterprise Value 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=enterprise-value&ticker=TKNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();