Cytek Biosciences (CTKB) Cash & Equivalents (2020 - 2026)
Cytek Biosciences' Cash & Equivalents was $73.85 million in Q2 2026, down 2.2% from $75.47 million a year earlier but up 12.4% from the prior quarter.
Cytek Biosciences (CTKB) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Cytek Biosciences came in at $90.9 million, down 7.9% from FY2024.
- Cash & Equivalents has now declined for four consecutive years, with a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $98.72 million in FY2024 (-41.0%), $167.3 million in FY2023 (-43.6%), $296.6 million in FY2022 (-18.7%) and $364.62 million in FY2021 (+120.7%).
- Quarterly Cash & Equivalents has moved between $65.7 million (Q1 2026) and $376.8 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for eight straight quarters, with an average decline of 28.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 120.7%); the worst was Q1 2023 (a decline of 64.3%).
- Per Business Quant data, CTKB's Cash & Equivalents in the three quarters before Q2 2026 was $65.7 million (Q1 2026), $90.9 million (Q4 2025) and $93.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Cytek Biosciences | 763.00 Mn | 439.27 Mn | 28.34 Mn | 73.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.85 Mn |
| Mar 31, 2026 | 65.70 Mn |
| Dec 31, 2025 | 90.90 Mn |
| Sep 30, 2025 | 93.28 Mn |
| Jun 30, 2025 | 75.47 Mn |
| Mar 31, 2025 | 95.30 Mn |
| Dec 31, 2024 | 98.72 Mn |
| Sep 30, 2024 | 162.27 Mn |
| Jun 30, 2024 | 177.89 Mn |
| Mar 31, 2024 | 168.79 Mn |
| Dec 31, 2023 | 167.30 Mn |
| Sep 30, 2023 | 163.63 Mn |
| Jun 30, 2023 | 131.54 Mn |
| Mar 31, 2023 | 129.50 Mn |
| Dec 31, 2022 | 296.60 Mn |
| Sep 30, 2022 | 341.52 Mn |
| Jun 30, 2022 | 349.90 Mn |
| Mar 31, 2022 | 362.51 Mn |
| Dec 31, 2021 | 364.62 Mn |
| Sep 30, 2021 | 376.80 Mn |
Cytek Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=CTKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();