Credit Suisse Ag (GLDI) Cash & Equivalents (2012 - 2023)
Credit Suisse Ag's Cash & Equivalents came in at $140.88 billion for Q4 2023, up 100.3% from $70.32 billion a year earlier.
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Analysis
Credit Suisse Ag (GLDI) Cash & Equivalents (2012 - 2023) Analysis & Trends
At the end of FY2023, Credit Suisse Ag's Cash & Equivalents was $139.14 billion, up 95.9% from FY2022.
- Cash & Equivalents carries a five-year compound annual growth rate of 6.3% (FY2018 to FY2023).
- Going back by year, Cash & Equivalents was $71.02 billion in FY2022 (-60.4%), $179.5 billion in FY2021 (+21.8%), $147.37 billion in FY2020 (+43.7%) and $102.57 billion in FY2019 (+0.2%).
- The Q4 2023 figure represents the highest quarterly Cash & Equivalents since Q2 2022.
- Year-over-year, Cash & Equivalents increased in three of the last five quarters, with growth averaging 6.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2023 (growth of 100.3%), and the weakest in Q4 2022 (a decline of 60.5%).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 148.18 Bn |
| Jun 30, 2023 | 111.36 Bn |
| Dec 31, 2022 | 73.41 Bn |
| Jun 30, 2022 | 166.32 Bn |
| Mar 31, 2022 | 181.97 Bn |
| Dec 31, 2021 | 179.52 Bn |
| Jun 30, 2021 | 158.93 Bn |
| Mar 31, 2021 | 141.54 Bn |
| Dec 31, 2020 | 156.77 Bn |
| Jun 30, 2020 | 138.87 Bn |
| Mar 31, 2020 | 124.14 Bn |
| Dec 31, 2019 | 105.18 Bn |
| Jun 30, 2019 | 94.70 Bn |
| Mar 31, 2019 | 95.25 Bn |
| Dec 31, 2018 | 101.72 Bn |
| Jun 30, 2018 | 112.78 Bn |
| Mar 31, 2018 | 123.60 Bn |
| Dec 31, 2017 | 112.20 Bn |
| Jun 30, 2017 | 115.49 Bn |
| Mar 31, 2017 | 101.81 Bn |
API Access
Credit Suisse Ag Cash & Equivalents 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=cash-and-equivalents&ticker=GLDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GLDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();