Alpha Teknova (TKNO) EBITDA Margin (2020 - 2026)
Alpha Teknova (TKNO) reported EBITDA Margin of -10.64% for Q2 2026, up 6.81 percentage points from -17.46% a year earlier and up 13.93 percentage points from the prior quarter.
Alpha Teknova (TKNO) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alpha Teknova's EBITDA Margin came in at -21.68%, up 16.67 percentage points year-over-year; for FY2025, it was -26.24%, up 25.60 percentage points from FY2024.
- EBITDA Margin has increased for three consecutive years, though with a five-year change of -47.67 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -51.84% in FY2024 (+29.67 pp), -81.52% in FY2023 (+30.74 pp), -112.25% in FY2022 (-87.52 pp) and -24.73% in FY2021 (-46.16 pp).
- The Q2 2026 figure ranks as the highest quarterly EBITDA Margin since Q1 2021.
- Year over year, EBITDA Margin has now increased in each of the last 13 quarters, with an average year-over-year change of +27.59 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q3 2023 (a gain of 120.46 percentage points); the low point was Q3 2022 (a drop of 174.43 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -24.57% (Q1 2026), -30.33% (Q4 2025) and -23.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.98 Bn | 235.01 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 172.60 Bn | 143.03 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 160.98 Bn | 144.79 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 147.87 Bn | 127.30 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 120.22 Bn | 85.48 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.90 Bn | 100.02 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.66 Bn | 60.43 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.16 Bn | 50.31 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.31 Bn | 34.32 Bn | 1.35 Bn | 31.93% |
| 10 | Alpha Teknova | 275.68 Mn | 197.01 Mn | 4.89 Mn | -10.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.25% |
| Mar 31, 2026 | -24.15% |
| Dec 31, 2025 | -29.86% |
| Sep 30, 2025 | -22.79% |
| Jun 30, 2025 | -17.04% |
| Mar 31, 2025 | -33.67% |
| Dec 31, 2024 | -41.88% |
| Sep 30, 2024 | -59.09% |
| Jun 30, 2024 | -35.05% |
| Mar 31, 2024 | -67.45% |
| Dec 31, 2023 | -116.49% |
| Sep 30, 2023 | -84.89% |
| Jun 30, 2023 | -48.41% |
| Mar 31, 2023 | -84.71% |
| Dec 31, 2022 | -167.58% |
| Sep 30, 2022 | -207.30% |
| Jun 30, 2022 | -49.45% |
| Mar 31, 2022 | -45.27% |
| Dec 31, 2021 | -38.96% |
| Sep 30, 2021 | -32.97% |
Alpha Teknova EBITDA Margin 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=ebitda-margin&ticker=TKNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();