Cytek Biosciences (CTKB) Receivables (2020 - 2026)
Cytek Biosciences (CTKB) posted Receivables of $49.7 million for Q2 2026, down 11.6% from $56.23 million a year earlier and down 4.2% from the prior quarter.
Cytek Biosciences (CTKB) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Cytek Biosciences' Receivables came in at $62.51 million, up 3.2% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In prior years, Cytek Biosciences' Receivables was $60.59 million in FY2024 (+8.3%), $55.93 million in FY2023 (+14.5%), $48.86 million in FY2022 (+64.2%) and $29.76 million in FY2021 (+75.2%).
- The Q2 2026 figure stands as the lowest quarterly Receivables since Q2 2024.
- On a year-over-year basis, Receivables increased in five of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2021, with growth of 75.2%; the weakest was Q2 2026, with a decline of 11.6%.
- According to Business Quant data, Receivables for the three prior quarters was $51.9 million (Q1 2026), $62.51 million (Q4 2025) and $56.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.38 Bn | 237.41 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.98 Bn | 142.41 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 162.99 Bn | 146.80 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 150.28 Bn | 129.70 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 119.92 Bn | 85.17 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 113.47 Bn | 99.59 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 65.06 Bn | 59.83 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 53.40 Bn | 50.55 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.64 Bn | 34.65 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Cytek Biosciences | 706.85 Mn | 383.13 Mn | 28.34 Mn | 49.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.70 Mn |
| Mar 31, 2026 | 51.90 Mn |
| Dec 31, 2025 | 62.51 Mn |
| Sep 30, 2025 | 56.63 Mn |
| Jun 30, 2025 | 56.23 Mn |
| Mar 31, 2025 | 55.03 Mn |
| Dec 31, 2024 | 60.59 Mn |
| Sep 30, 2024 | 52.63 Mn |
| Jun 30, 2024 | 44.64 Mn |
| Mar 31, 2024 | 50.31 Mn |
| Dec 31, 2023 | 55.93 Mn |
| Sep 30, 2023 | 55.40 Mn |
| Jun 30, 2023 | 49.62 Mn |
| Mar 31, 2023 | 43.10 Mn |
| Dec 31, 2022 | 48.86 Mn |
| Sep 30, 2022 | 39.64 Mn |
| Jun 30, 2022 | 36.81 Mn |
| Mar 31, 2022 | 31.99 Mn |
| Dec 31, 2021 | 29.76 Mn |
| Sep 30, 2021 | 29.45 Mn |
Cytek Biosciences Receivables 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=receivables&ticker=CTKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();