Alpha Teknova (TKNO) Cash & Equivalents (2020 - 2026)
Alpha Teknova (TKNO) reported Cash & Equivalents of $6 million for Q2 2026, up 83.3% from $3.28 million a year earlier and up 39.4% from the prior quarter.
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Analysis
Alpha Teknova (TKNO) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Alpha Teknova posted Cash & Equivalents of $5.91 million, up 59.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $3.71 million in FY2024 (-87.0%), $28.48 million in FY2023 (-32.6%), $42.24 million in FY2022 (-51.7%) and $87.52 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q3 2024.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with an average decline of 26.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 428.5%); the low point was Q4 2024 (a decline of 87.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.31 million (Q1 2026), $5.91 million (Q4 2025) and $3.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Alpha Teknova | 477.78 Mn | 399.10 Mn | 4.89 Mn | 6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 4.31 Mn |
| Dec 31, 2025 | 5.91 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Mar 31, 2025 | 3.38 Mn |
| Dec 31, 2024 | 3.71 Mn |
| Sep 30, 2024 | 6.15 Mn |
| Jun 30, 2024 | 18.60 Mn |
| Mar 31, 2024 | 21.60 Mn |
| Dec 31, 2023 | 28.48 Mn |
| Sep 30, 2023 | 32.10 Mn |
| Jun 30, 2023 | 23.71 Mn |
| Mar 31, 2023 | 30.22 Mn |
| Dec 31, 2022 | 42.24 Mn |
| Sep 30, 2022 | 49.86 Mn |
| Jun 30, 2022 | 64.73 Mn |
| Mar 31, 2022 | 76.46 Mn |
| Dec 31, 2021 | 87.52 Mn |
| Sep 30, 2021 | 98.01 Mn |
API Access
Alpha Teknova Cash & Equivalents 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=cash-and-equivalents&ticker=TKNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();