Cytek Biosciences (CTKB) Non-Current Deffered Revenue (2020 - 2026)
Cytek Biosciences (CTKB) recorded Non-Current Deffered Revenue of $18.06 million in Q2 2026, up 8.6% from $16.63 million a year earlier and up 2.2% from the prior quarter.
Cytek Biosciences (CTKB) Non-Current Deffered Revenue (2020 - 2026) Analysis & Trends
At the end of FY2025, Cytek Biosciences reported Non-Current Deffered Revenue of $18.34 million, up 13.9% from FY2024.
- Annual Non-Current Deffered Revenue has increased for five straight years, with a five-year compound annual growth rate of 39.6% (FY2020 to FY2025).
- Across earlier years, Non-Current Deffered Revenue came in at $16.1 million in FY2024 (+6.4%), $15.13 million in FY2023 (+15.3%), $13.12 million in FY2022 (+34.1%) and $9.79 million in FY2021 (+183.3%).
- Quarterly Non-Current Deffered Revenue has ranged from $7.2 million in Q1 2022 to $18.34 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Deffered Revenue has increased for seven consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Deffered Revenue in the last five years was growth of 183.3% in Q4 2021, against a decline of 12.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.67 million (Q1 2026), $18.34 million (Q4 2025) and $16.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Cytek Biosciences | 774.70 Mn | 450.97 Mn | 28.34 Mn | 18.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.06 Mn |
| Mar 31, 2026 | 17.67 Mn |
| Dec 31, 2025 | 18.34 Mn |
| Sep 30, 2025 | 16.32 Mn |
| Jun 30, 2025 | 16.63 Mn |
| Mar 31, 2025 | 15.72 Mn |
| Dec 31, 2024 | 16.10 Mn |
| Sep 30, 2024 | 14.79 Mn |
| Jun 30, 2024 | 14.06 Mn |
| Mar 31, 2024 | 15.16 Mn |
| Dec 31, 2023 | 15.13 Mn |
| Sep 30, 2023 | 14.96 Mn |
| Jun 30, 2023 | 16.05 Mn |
| Mar 31, 2023 | 13.01 Mn |
| Dec 31, 2022 | 13.12 Mn |
| Sep 30, 2022 | 10.41 Mn |
| Jun 30, 2022 | 11.02 Mn |
| Mar 31, 2022 | 7.20 Mn |
| Dec 31, 2021 | 9.79 Mn |
| Sep 30, 2021 | 7.74 Mn |
Cytek Biosciences Non-Current Deffered Revenue 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-deffered-revenue&ticker=CTKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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-deffered-revenue&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();