Cytek Biosciences (CTKB) Non-Current Assets (2020 - 2026)
Cytek Biosciences (CTKB) reported Non-Current Assets of $69 million for Q2 2026, down 37.6% from $110.5 million a year earlier and down 1.2% from the prior quarter.
Cytek Biosciences (CTKB) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Cytek Biosciences posted Non-Current Assets of $69.55 million, down 32.5% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 43.7% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $103.05 million in FY2024 (+0.6%), $102.4 million in FY2023 (+56.4%), $65.46 million in FY2022 (+107.3%) and $31.57 million in FY2021 (+178.0%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q4 2022.
- Year over year, Non-Current Assets has now declined in each of the last three quarters, with an average decline of 10.3% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2022 (growth of 282.5%); the low point was Q2 2026 (a decline of 37.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.81 million (Q1 2026), $69.55 million (Q4 2025) and $106.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Cytek Biosciences | 748.70 Mn | 424.97 Mn | 28.34 Mn | 69.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.00 Mn |
| Mar 31, 2026 | 69.81 Mn |
| Dec 31, 2025 | 69.55 Mn |
| Sep 30, 2025 | 106.43 Mn |
| Jun 30, 2025 | 110.50 Mn |
| Mar 31, 2025 | 102.10 Mn |
| Dec 31, 2024 | 103.05 Mn |
| Sep 30, 2024 | 101.04 Mn |
| Jun 30, 2024 | 99.64 Mn |
| Mar 31, 2024 | 103.42 Mn |
| Dec 31, 2023 | 102.40 Mn |
| Sep 30, 2023 | 97.12 Mn |
| Jun 30, 2023 | 100.23 Mn |
| Mar 31, 2023 | 98.95 Mn |
| Dec 31, 2022 | 65.46 Mn |
| Sep 30, 2022 | 55.44 Mn |
| Jun 30, 2022 | 49.55 Mn |
| Mar 31, 2022 | 46.77 Mn |
| Dec 31, 2021 | 31.57 Mn |
| Sep 30, 2021 | 14.49 Mn |
Cytek Biosciences Non-Current Assets 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=non-current-assets&ticker=CTKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();