Cytek Biosciences (CTKB) Total Non-Current Liabilities (2020 - 2026)
Cytek Biosciences (CTKB) reported Total Non-Current Liabilities of $118.61 million for Q2 2026, up 10.6% from $107.29 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Cytek Biosciences (CTKB) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Cytek Biosciences posted Total Non-Current Liabilities of $113.02 million, up 19.3% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $94.73 million in FY2024 (+11.6%), $84.92 million in FY2023 (+8.4%), $78.33 million in FY2022 (+77.3%) and $44.18 million in FY2021 (-80.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q2 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 77.3%); the low point was Q4 2021 (a decline of 80.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $114.83 million (Q1 2026), $113.02 million (Q4 2025) and $108.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Cytek Biosciences | 689.38 Mn | 365.65 Mn | 28.34 Mn | 116.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.16 Mn |
| Mar 31, 2026 | 112.43 Mn |
| Dec 31, 2025 | 110.71 Mn |
| Sep 30, 2025 | 105.67 Mn |
| Jun 30, 2025 | 104.81 Mn |
| Mar 31, 2025 | 91.77 Mn |
| Dec 31, 2024 | 92.36 Mn |
| Sep 30, 2024 | 86.58 Mn |
| Jun 30, 2024 | 75.89 Mn |
| Mar 31, 2024 | 80.90 Mn |
| Dec 31, 2023 | 82.49 Mn |
| Sep 30, 2023 | 85.53 Mn |
| Jun 30, 2023 | 82.36 Mn |
| Mar 31, 2023 | 83.20 Mn |
| Dec 31, 2022 | 76.75 Mn |
| Sep 30, 2022 | 66.23 Mn |
| Jun 30, 2022 | 65.69 Mn |
| Mar 31, 2022 | 62.69 Mn |
| Dec 31, 2021 | 42.97 Mn |
| Sep 30, 2021 | 37.76 Mn |
API Access
Cytek Biosciences Total Non-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-non-current-liabilities&ticker=CTKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();