Credit Suisse Ag (GLDI) Short-Term Borrowings (2009 - 2023)
Analysis
Credit Suisse Ag (GLDI) Short-Term Borrowings (2009 - 2023) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 56.48 Bn |
| Jun 30, 2023 | 84.62 Bn |
| Dec 31, 2022 | 15.70 Bn |
| Jun 30, 2022 | 21.11 Bn |
| Mar 31, 2022 | 18.85 Bn |
| Dec 31, 2021 | 21.22 Bn |
| Jun 30, 2021 | 24.29 Bn |
| Mar 31, 2021 | 26.43 Bn |
| Dec 31, 2020 | 23.67 Bn |
| Jun 30, 2020 | 28.80 Bn |
| Mar 31, 2020 | 29.09 Bn |
| Dec 31, 2019 | 29.30 Bn |
| Jun 30, 2019 | 26.76 Bn |
| Mar 31, 2019 | 26.70 Bn |
| Dec 31, 2018 | 22.79 Bn |
| Jun 30, 2018 | 30.65 Bn |
| Mar 31, 2018 | 33.34 Bn |
| Dec 31, 2017 | 26.45 Bn |
| Jun 30, 2017 | 18.04 Bn |
| Mar 31, 2017 | 13.78 Bn |
API Access
Credit Suisse Ag Short-Term Borrowings 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=short-term-borrowings&ticker=GLDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=GLDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();