Credit Suisse Ag (GLDI) Operating Expenses (2016 - 2022)
Credit Suisse Ag's Operating Expenses came in at $24.63 billion for FY2023, up 26.8% from $19.42 billion in FY2022.
Analysis
Credit Suisse Ag (GLDI) Operating Expenses (2016 - 2022) Analysis & Trends
Going back to FY2009, Credit Suisse Ag's Operating Expenses data covers 15 years.
- Operating Expenses carries a five-year compound annual growth rate of 6.8% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Operating Expenses since FY2015.
- Per Business Quant, earlier years put Operating Expenses at $19.42 billion in FY2022 (-6.2%), $20.71 billion in FY2021 (+9.0%), $19.01 billion in FY2020 (+8.3%) and $17.56 billion in FY2019 (-0.8%).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 4.94 Bn |
| Mar 31, 2022 | 5.36 Bn |
| 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 |
API Access
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();