Nebius (NBIS) Asset Writedowns and Impairment (2014 - 2023)
Nebius' Asset Writedowns and Impairment came in at $6.34 billion for the quarter ended Dec 31, 2023.
Analysis
Nebius (NBIS) Asset Writedowns and Impairment (2014 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Nebius' Asset Writedowns and Impairment was $81.27 million, up 50.8% from the prior year.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 61.4% (years ended Dec 2019 to Dec 2023).
- Going back by year, Asset Writedowns and Impairment was $53.9 million in the year ended Dec 31, 2022 and $11.96 million in the year ended Dec 31, 2019.
- The figure for the quarter ended Dec 31, 2023 represents the highest quarterly Asset Writedowns and Impairment in data going back to the quarter ended Dec 31, 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,932.24 Bn | 3,855.40 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.04 Bn | 169.85 Bn | 9.91 Bn |
| 3 | Cloudflare | 104.70 Bn | 88.23 Bn | 499.52 Mn |
| 4 | Equinix | 97.19 Bn | 85.75 Bn | 1.40 Bn |
| 5 | Nebius | 40.23 Bn | 13.66 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.76 Bn | 20.85 Bn | 1.70 Bn |
| 7 | Verisign | 27.46 Bn | 24.67 Bn | 384.60 Mn |
| 8 | Nutanix | 17.98 Bn | 9.67 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.83 Bn | 9.41 Bn | 828.20 Mn |
| 10 | Akamai Technologies | 12.69 Bn | 6.10 Bn | 613.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 6.34 Bn |
| Dec 31, 2022 | -3.59 Bn |
| Jun 30, 2022 | 2.74 Bn |
| Mar 31, 2022 | 904.00 Mn |
| Dec 31, 2014 | -687.60 Mn |
API Access
Nebius 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=NBIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "NBIS", "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=NBIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();