Alpha Teknova (TKNO) Cost of Revenue (2020 - 2026)
Alpha Teknova's Cost of Revenue came in at $7.3 million for Q2 2026, up 15.8% from $6.3 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Alpha Teknova (TKNO) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alpha Teknova reported Cost of Revenue of $28.58 million, down 3.8% year-over-year; for FY2025, it was $27.08 million, down 11.3% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $30.51 million in FY2024 (+15.6%), $26.39 million in FY2023 (+10.2%), $23.94 million in FY2022 (+24.2%) and $19.27 million in FY2021 (+42.3%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q3 2024.
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2022 (growth of 43.1%), and the weakest in Q3 2025 (a decline of 23.6%).
- Business Quant data shows TKNO's Cost of Revenue at $7.29 million (Q1 2026), $6.74 million (Q4 2025) and $7.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Alpha Teknova | 482.61 Mn | 403.93 Mn | 4.89 Mn | 7.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.30 Mn |
| Mar 31, 2026 | 7.29 Mn |
| Dec 31, 2025 | 6.74 Mn |
| Sep 30, 2025 | 7.25 Mn |
| Jun 30, 2025 | 6.30 Mn |
| Mar 31, 2025 | 6.79 Mn |
| Dec 31, 2024 | 7.14 Mn |
| Sep 30, 2024 | 9.49 Mn |
| Jun 30, 2024 | 6.81 Mn |
| Mar 31, 2024 | 7.08 Mn |
| Dec 31, 2023 | 6.53 Mn |
| Sep 30, 2023 | 6.70 Mn |
| Jun 30, 2023 | 6.46 Mn |
| Mar 31, 2023 | 6.70 Mn |
| Dec 31, 2022 | 5.78 Mn |
| Sep 30, 2022 | 5.92 Mn |
| Jun 30, 2022 | 6.44 Mn |
| Mar 31, 2022 | 5.80 Mn |
| Dec 31, 2021 | 5.13 Mn |
| Sep 30, 2021 | 5.13 Mn |
API Access
Alpha Teknova Cost of 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=cost-of-revenue&ticker=TKNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();