Credit Suisse Ag (USOI) EBITDA (2016 - 2022)
Credit Suisse Ag's (USOI) quarterly EBITDA came in at $110.1 million in Q2 2022, down 94.49% year-over-year from $2.0 billion in Q2 2021, and down 70.71% quarter-over-quarter from $375.7 million in Q1 2022.
Credit Suisse Ag (USOI) EBITDA (2016 - 2022) Analysis & Trends
Credit Suisse Ag has disclosed EBITDA across 7 years of filings, most recently posting $110.1 million for Q2 2022.
- In Q2 2022, EBITDA fell 94.49% year-over-year to $110.1 million; the TTM figure through Jun 2022 stood at $271.5 million (down 97.42% YoY), while the FY2023 annual figure was $4.1 billion, up 30.66% from the prior year.
- EBITDA came in at $110.1 million for Q2 2022 at Credit Suisse Ag, down from $375.7 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $4.9 billion in Q2 2019 to a low of -$2.2 billion in Q4 2021.
- Average EBITDA over 5 years is $2.4 billion, with a median of $3.7 billion recorded in 2020.
- Year-over-year, EBITDA surged 34.78% in 2018 and plunged 94.49% in 2022.
- Over 5 years, EBITDA stood at $4.6 billion in 2018, then advanced by 6.9% to $4.9 billion in 2019, then decreased by 25.01% to $3.7 billion in 2020, then tumbled by 159.74% to -$2.2 billion in 2021, then soared by 104.97% to $110.1 million in 2022.
- Per Business Quant data, the three most recent EBITDA figures were $110.1 million in Q2 2022, $375.7 million in Q1 2022, and -$2.2 billion in Q4 2021.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 110.06 Mn |
| Mar 31, 2022 | 375.73 Mn |
| Dec 31, 2021 | -2.21 Bn |
| Jun 30, 2021 | 2.00 Bn |
| Mar 31, 2021 | 712.30 Mn |
| Jun 30, 2020 | 3.70 Bn |
| Mar 31, 2020 | 4.10 Bn |
| Jun 30, 2019 | 4.94 Bn |
| Mar 31, 2019 | 4.37 Bn |
| Jun 30, 2018 | 4.62 Bn |
| Mar 31, 2018 | 4.13 Bn |
| Jun 30, 2017 | 3.50 Bn |
| Mar 31, 2017 | 3.07 Bn |
| Jun 30, 2016 | 2.34 Bn |
Credit Suisse Ag EBITDA 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=ebitda&ticker=USOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "USOI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=USOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();