Alpha Teknova (TKNO) Revenue (2020 - 2026)
Alpha Teknova's Revenue was $12.19 million in Q2 2026, up 18.5% from $10.29 million a year earlier and up 10.0% from the prior quarter.
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Analysis
Alpha Teknova (TKNO) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alpha Teknova's Revenue was $43.7 million through Jun 30, 2026, up 12.3% year-over-year; for FY2025, it was $40.52 million, up 7.4% from FY2024.
- Revenue shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In earlier years, Revenue was $37.75 million in FY2024 (+2.9%), $36.68 million in FY2023 (-11.4%), $41.42 million in FY2022 (+12.3%) and $36.89 million in FY2021 (+17.9%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q2 2020.
- Compared with a year earlier, Revenue has increased for eight straight quarters, with growth averaging 12.0% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q2 2022 (growth of 40.6%); the worst was Q3 2023 (a decline of 23.6%).
- Per Business Quant data, TKNO's Revenue in the three quarters before Q2 2026 was $11.08 million (Q1 2026), $9.98 million (Q4 2025) and $10.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Alpha Teknova | 493.88 Mn | 415.21 Mn | 4.89 Mn | 12.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.19 Mn |
| Mar 31, 2026 | 11.08 Mn |
| Dec 31, 2025 | 9.98 Mn |
| Sep 30, 2025 | 10.45 Mn |
| Jun 30, 2025 | 10.29 Mn |
| Mar 31, 2025 | 9.80 Mn |
| Dec 31, 2024 | 9.27 Mn |
| Sep 30, 2024 | 9.58 Mn |
| Jun 30, 2024 | 9.61 Mn |
| Mar 31, 2024 | 9.29 Mn |
| Dec 31, 2023 | 7.87 Mn |
| Sep 30, 2023 | 8.17 Mn |
| Jun 30, 2023 | 11.53 Mn |
| Mar 31, 2023 | 9.12 Mn |
| Dec 31, 2022 | 7.89 Mn |
| Sep 30, 2022 | 10.69 Mn |
| Jun 30, 2022 | 11.69 Mn |
| Mar 31, 2022 | 11.15 Mn |
| Dec 31, 2021 | 10.11 Mn |
| Sep 30, 2021 | 9.39 Mn |
API Access
Alpha Teknova Revenue 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=revenue&ticker=TKNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();