Alpha Teknova (TKNO) Total Liabilities (2020 - 2026)
Alpha Teknova's Total Liabilities came in at $33.28 million for Q2 2026, down 3.3% from $34.43 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Alpha Teknova (TKNO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Alpha Teknova's Total Liabilities was $34.81 million, down 4.3% from FY2024.
- Total Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $36.38 million in FY2024 (-5.6%), $38.55 million in FY2023 (-26.4%), $52.38 million in FY2022 (+124.7%) and $23.31 million in FY2021 (-49.5%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q4 2021.
- Year-over-year, Total Liabilities has declined for 13 consecutive quarters, with an average decline of 4.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 124.7%), and the weakest in Q4 2021 (a decline of 49.5%).
- Business Quant data shows TKNO's Total Liabilities at $33.73 million (Q1 2026), $34.81 million (Q4 2025) and $34.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Alpha Teknova | 487.44 Mn | 408.76 Mn | 4.89 Mn | 33.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.28 Mn |
| Mar 31, 2026 | 33.73 Mn |
| Dec 31, 2025 | 34.81 Mn |
| Sep 30, 2025 | 34.98 Mn |
| Jun 30, 2025 | 34.43 Mn |
| Mar 31, 2025 | 35.39 Mn |
| Dec 31, 2024 | 36.38 Mn |
| Sep 30, 2024 | 36.83 Mn |
| Jun 30, 2024 | 36.43 Mn |
| Mar 31, 2024 | 37.44 Mn |
| Dec 31, 2023 | 38.55 Mn |
| Sep 30, 2023 | 38.73 Mn |
| Jun 30, 2023 | 46.34 Mn |
| Mar 31, 2023 | 48.93 Mn |
| Dec 31, 2022 | 52.38 Mn |
| Sep 30, 2022 | 48.28 Mn |
| Jun 30, 2022 | 48.73 Mn |
| Mar 31, 2022 | 45.54 Mn |
| Dec 31, 2021 | 23.31 Mn |
| Sep 30, 2021 | 22.94 Mn |
API Access
Alpha Teknova Total Liabilities 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=total-liabilities&ticker=TKNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();