Alpha Teknova (TKNO) Total Current Liabilities (2020 - 2026)
Alpha Teknova (TKNO) recorded Total Current Liabilities of $6.87 million in Q2 2026, up 6.1% from $6.48 million a year earlier but down 0.3% from the prior quarter.
Alpha Teknova (TKNO) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Alpha Teknova reported Total Current Liabilities of $7.54 million, down 32.8% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $11.21 million in FY2024 (+26.3%), $8.88 million in FY2023 (-18.4%), $10.88 million in FY2022 (+40.4%) and $7.74 million in FY2021 (+95.4%).
- Quarterly Total Current Liabilities has ranged from $6.2 million in Q3 2021 to $28.65 million in Q2 2023 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in four of the last eight quarters, with an average decline of 3.4%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 141.5% in Q2 2023, against a decline of 74.1% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.9 million (Q1 2026), $7.54 million (Q4 2025) and $6.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Alpha Teknova | 396.90 Mn | 318.22 Mn | 4.89 Mn | 6.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.87 Mn |
| Mar 31, 2026 | 6.90 Mn |
| Dec 31, 2025 | 7.54 Mn |
| Sep 30, 2025 | 6.94 Mn |
| Jun 30, 2025 | 6.48 Mn |
| Mar 31, 2025 | 7.05 Mn |
| Dec 31, 2024 | 11.21 Mn |
| Sep 30, 2024 | 9.72 Mn |
| Jun 30, 2024 | 7.41 Mn |
| Mar 31, 2024 | 7.04 Mn |
| Dec 31, 2023 | 8.88 Mn |
| Sep 30, 2023 | 8.34 Mn |
| Jun 30, 2023 | 28.65 Mn |
| Mar 31, 2023 | 8.65 Mn |
| Dec 31, 2022 | 10.88 Mn |
| Sep 30, 2022 | 12.33 Mn |
| Jun 30, 2022 | 11.87 Mn |
| Mar 31, 2022 | 12.64 Mn |
| Dec 31, 2021 | 7.74 Mn |
| Sep 30, 2021 | 6.20 Mn |
Alpha Teknova Total Current 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-current-liabilities&ticker=TKNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=TKNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();