Credit Suisse Ag (GLDI) Operating Expenses (2016 - 2022)
Credit Suisse Ag's (GLDI) quarterly Operating Expenses came in at $4.9 billion in Q2 2022, up 4.31% year-over-year from $4.7 billion in Q2 2021, and down 7.91% quarter-over-quarter from $5.4 billion in Q1 2022.
Credit Suisse Ag (GLDI) Operating Expenses (2016 - 2022) Analysis & Trends
Credit Suisse Ag has disclosed Operating Expenses across 7 years of filings, most recently posting $4.9 billion for Q2 2022.
- In Q2 2022, Operating Expenses rose 4.31% year-over-year to $4.9 billion; the TTM figure through Jun 2022 stood at $15.0 billion (down 15.2% YoY), while the FY2023 annual figure was $24.6 billion, up 26.81% from the prior year.
- Operating Expenses came in at $4.9 billion for Q2 2022 at Credit Suisse Ag, down from $5.4 billion in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $5.4 billion in Q1 2022 to a low of $15.2 million in Q4 2021.
- Average Operating Expenses over 5 years is $4.2 billion, with a median of $4.5 billion recorded in 2020.
- Year-over-year, Operating Expenses retreated 10.87% in 2019 and climbed 23.09% in 2022.
- Over 5 years, Operating Expenses stood at $4.5 billion in 2018, then decreased by 6.58% to $4.2 billion in 2019, then gained by 6.34% to $4.5 billion in 2020, then slumped by 99.66% to $15.2 million in 2021, then surged by 32410.28% to $4.9 billion in 2022.
- Per Business Quant data, the three most recent Operating Expenses figures were $4.9 billion in Q2 2022, $5.4 billion in Q1 2022, and $15.2 million in Q4 2021.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 4.94 Bn |
| Mar 31, 2022 | 5.36 Bn |
| Dec 31, 2021 | 15.18 Mn |
| Jun 30, 2021 | 4.73 Bn |
| Mar 31, 2021 | 4.35 Bn |
| Jun 30, 2020 | 4.51 Bn |
| Mar 31, 2020 | 4.14 Bn |
| Jun 30, 2019 | 4.24 Bn |
| Mar 31, 2019 | 4.26 Bn |
| Jun 30, 2018 | 4.54 Bn |
| Mar 31, 2018 | 4.78 Bn |
| Jun 30, 2017 | 4.61 Bn |
| Mar 31, 2017 | 4.79 Bn |
| Jun 30, 2016 | 5.12 Bn |
Credit Suisse Ag Operating 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=operating-expenses&ticker=GLDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GLDI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GLDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();