Cytek Biosciences (CTKB) Asset Writedowns and Impairment (2020 - 2026)
Cytek Biosciences (CTKB) recorded Asset Writedowns and Impairment of $440,000 in Q2 2026, compared with $21,000 a year earlier and up 128.0% from the prior quarter.
Cytek Biosciences (CTKB) Asset Writedowns and Impairment (2020 - 2026) Analysis & Trends
On a TTM basis, Cytek Biosciences' Asset Writedowns and Impairment came in at $2 million as of Jun 30, 2026, up 112.0% year-over-year; for FY2025, it was $1.7 million, up 3.5% from FY2024.
- Annual Asset Writedowns and Impairment has increased for four straight years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier years, Asset Writedowns and Impairment came in at $1.65 million in FY2024 (+12.1%), $1.47 million in FY2023 (+94.2%), $756,000 in FY2022 (+54.9%) and $488,000 in FY2021 (-68.9%).
- Quarterly Asset Writedowns and Impairment has ranged from $21,000 in Q2 2025 to $1.24 million in Q4 2025 over the past five years.
- On a year-over-year basis, Asset Writedowns and Impairment rose in two of the last seven quarters, with growth averaging 17.3%.
- Peak year-over-year performance for Asset Writedowns and Impairment in the last five years was growth of 586.5% in Q1 2023, against a decline of 83.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $193,000 (Q1 2026), $1.24 million (Q4 2025) and $132,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Cytek Biosciences | 763.00 Mn | 439.27 Mn | 28.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 440,000.00 |
| Mar 31, 2026 | 193,000.00 |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 132,000.00 |
| Jun 30, 2025 | 21,000.00 |
| Mar 31, 2025 | 314,000.00 |
| Dec 31, 2024 | 268,000.00 |
| Sep 30, 2024 | 341,000.00 |
| Jun 30, 2024 | 125,000.00 |
| Mar 31, 2024 | 912,000.00 |
| Dec 31, 2023 | 670,000.00 |
| Sep 30, 2023 | 202,000.00 |
| Jun 30, 2023 | 88,000.00 |
| Mar 31, 2023 | 508,000.00 |
| Dec 31, 2022 | 294,000.00 |
| Sep 30, 2022 | 175,000.00 |
| Jun 30, 2022 | 213,000.00 |
| Mar 31, 2022 | 74,000.00 |
| Dec 31, 2021 | 155,000.00 |
| Sep 30, 2021 | 70,000.00 |
Cytek Biosciences Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=CTKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=CTKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();