Cytek Biosciences (CTKB) Change in Accured Expenses (2020 - 2026)
Cytek Biosciences (CTKB) recorded Change in Accured Expenses of $4.12 million in Q2 2026, up 47.5% from $2.79 million a year earlier.
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Analysis
Cytek Biosciences (CTKB) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Cytek Biosciences' Change in Accured Expenses came in at $3.53 million as of Jun 30, 2026, down 61.8% year-over-year; for FY2025, it was $3.97 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at -$817,000 in FY2024, $729,000 in FY2023 (-90.2%), $7.47 million in FY2022 (-32.0%) and $10.98 million in FY2021 (+235.8%).
- Quarterly Change in Accured Expenses has ranged from -$4.79 million in Q2 2024 to $8.88 million in Q4 2021 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 661.4% in Q3 2023, against a decline of 97.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$3.89 million (Q1 2026), $4.71 million (Q4 2025) and -$1.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Cytek Biosciences | 763.00 Mn | 439.27 Mn | 28.34 Mn | 4.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Mn |
| Mar 31, 2026 | -3.89 Mn |
| Dec 31, 2025 | 4.71 Mn |
| Sep 30, 2025 | -1.41 Mn |
| Jun 30, 2025 | 2.79 Mn |
| Mar 31, 2025 | -2.12 Mn |
| Dec 31, 2024 | 2.94 Mn |
| Sep 30, 2024 | 5.63 Mn |
| Jun 30, 2024 | -4.79 Mn |
| Mar 31, 2024 | -4.60 Mn |
| Dec 31, 2023 | 119,000.00 |
| Sep 30, 2023 | 335,000.00 |
| Jun 30, 2023 | -1.49 Mn |
| Mar 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 4.64 Mn |
| Sep 30, 2022 | 44,000.00 |
| Jun 30, 2022 | 2.23 Mn |
| Mar 31, 2022 | 555,000.00 |
| Dec 31, 2021 | 8.88 Mn |
| Sep 30, 2021 | 1.59 Mn |
API Access
Cytek Biosciences Change in Accured Expenses 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=change-in-accured-expenses&ticker=CTKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();