Alpha Teknova (TKNO) Capital Expenditures (2020 - 2026)
Alpha Teknova (TKNO) posted Capital Expenditures of $125,000 for Q2 2026, down 39.6% from $207,000 a year earlier and down 43.4% from the prior quarter.
Alpha Teknova (TKNO) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Alpha Teknova was $1.08 million, down 17.5% year-over-year; for FY2025, it was $1.15 million, up 2.0% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -26.8% (FY2020 to FY2025).
- In prior years, Alpha Teknova's Capital Expenditures was $1.13 million in FY2024 (-85.8%), $7.93 million in FY2023 (-71.8%), $28.15 million in FY2022 (+41.6%) and $19.88 million in FY2021 (+263.6%).
- The Q2 2026 figure stands as the lowest quarterly Capital Expenditures since Q2 2024.
- On a year-over-year basis, Capital Expenditures increased in five of the last eight quarters, with growth averaging 15.7%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2021, with growth of 284.5%; the weakest was Q1 2024, with a decline of 97.4%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $221,000 (Q1 2026), $348,000 (Q4 2025) and $387,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Alpha Teknova | 487.44 Mn | 408.76 Mn | 4.89 Mn | 125,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125,000.00 |
| Mar 31, 2026 | 221,000.00 |
| Dec 31, 2025 | 348,000.00 |
| Sep 30, 2025 | 387,000.00 |
| Jun 30, 2025 | 207,000.00 |
| Mar 31, 2025 | 206,000.00 |
| Dec 31, 2024 | 567,000.00 |
| Sep 30, 2024 | 331,000.00 |
| Jun 30, 2024 | 115,000.00 |
| Mar 31, 2024 | 112,000.00 |
| Dec 31, 2023 | 312,000.00 |
| Sep 30, 2023 | 972,000.00 |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 4.31 Mn |
| Dec 31, 2022 | 4.73 Mn |
| Sep 30, 2022 | 6.58 Mn |
| Jun 30, 2022 | 10.92 Mn |
| Mar 31, 2022 | 5.92 Mn |
| Dec 31, 2021 | 7.41 Mn |
| Sep 30, 2021 | 3.91 Mn |
Alpha Teknova Capital Expenditures 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=capital-expenditures&ticker=TKNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();