Cytek Biosciences (CTKB) Total Current Liabilities (2020 - 2026)
Cytek Biosciences' Total Current Liabilities was $84.34 million in Q2 2026, up 15.1% from $73.27 million a year earlier and up 4.2% from the prior quarter.
Cytek Biosciences (CTKB) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Cytek Biosciences came in at $77.8 million, up 15.0% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $67.66 million in FY2024 (+20.3%), $56.23 million in FY2023 (+14.7%), $49.04 million in FY2022 (+47.8%) and $33.18 million in FY2021 (+25.0%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Current Liabilities has increased for eight straight quarters, with growth averaging 19.8% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2022 (growth of 50.4%); the worst was Q2 2024 (a decline of 2.3%).
- Per Business Quant data, CTKB's Total Current Liabilities in the three quarters before Q2 2026 was $80.94 million (Q1 2026), $77.8 million (Q4 2025) and $75.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.06 Bn | 237.09 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 173.78 Bn | 144.21 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 163.32 Bn | 147.12 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 148.32 Bn | 127.74 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 120.79 Bn | 86.04 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 114.30 Bn | 100.41 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.96 Bn | 60.73 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.35 Bn | 50.50 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.49 Bn | 34.49 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Cytek Biosciences | 706.21 Mn | 382.48 Mn | 28.34 Mn | 84.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.34 Mn |
| Mar 31, 2026 | 80.94 Mn |
| Dec 31, 2025 | 77.80 Mn |
| Sep 30, 2025 | 75.21 Mn |
| Jun 30, 2025 | 73.27 Mn |
| Mar 31, 2025 | 67.69 Mn |
| Dec 31, 2024 | 67.66 Mn |
| Sep 30, 2024 | 62.80 Mn |
| Jun 30, 2024 | 52.38 Mn |
| Mar 31, 2024 | 55.57 Mn |
| Dec 31, 2023 | 56.23 Mn |
| Sep 30, 2023 | 58.69 Mn |
| Jun 30, 2023 | 53.59 Mn |
| Mar 31, 2023 | 56.52 Mn |
| Dec 31, 2022 | 49.04 Mn |
| Sep 30, 2022 | 41.49 Mn |
| Jun 30, 2022 | 42.35 Mn |
| Mar 31, 2022 | 42.80 Mn |
| Dec 31, 2021 | 33.18 Mn |
| Sep 30, 2021 | 30.01 Mn |
Cytek Biosciences 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=CTKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "CTKB", "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=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();