Bionano Genomics (BNGO) Asset Writedowns and Impairment (2017 - 2024)
Bionano Genomics (BNGO) posted Asset Writedowns and Impairment of $7.23 million for FY2024, down 90.6% from $77.3 million in FY2023.
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Analysis
Bionano Genomics (BNGO) Asset Writedowns and Impairment (2017 - 2024) Analysis & Trends
Since FY2017, Bionano Genomics has reported Asset Writedowns and Impairment for 5 years.
- Annual Asset Writedowns and Impairment shows a four-year compound annual growth rate of 175.2% (FY2020 to FY2024).
- The FY2024 figure stands as the lowest annual Asset Writedowns and Impairment since FY2020.
- Business Quant data shows BNGO's Asset Writedowns and Impairment at $77.3 million in FY2023 and $126,000 in FY2020.
Peer Set
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 | Bionano Genomics | 17.43 Mn | -47.81 Mn | 4.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 7.20 Mn |
| Mar 31, 2024 | 448,000.00 |
| Sep 30, 2023 | 77.30 Mn |
| Dec 31, 2017 | 240,074.00 |
API Access
Bionano Genomics 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=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "BNGO", "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=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();