Grupo Cibest (CIB) Net Cash Flow (2023 - 2025)
Grupo Cibest (CIB) posted Net Cash Flow of $6.56 trillion for the quarter ended Jun 30, 2026, compared with -$1.52 trillion a year earlier and up 231.5% from the prior quarter.
Grupo Cibest (CIB) Net Cash Flow (2023 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Cash Flow at Grupo Cibest was $5.72 trillion, up 28.5% year-over-year; for the year ended Dec 31, 2025, it was $1.8 trillion.
- In prior years, Grupo Cibest's Net Cash Flow was -$9.37 trillion in the year ended Dec 31, 2024 and $13.56 trillion in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Net Cash Flow since the quarter ended Dec 31, 2024.
- According to Business Quant data, Net Cash Flow for the three prior quarters was $1.98 trillion (quarter ended Mar 31, 2026), -$969.71 billion (quarter ended Dec 31, 2025) and -$1.85 trillion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Yr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.44 Bn | 895.44 Bn | - | -143.81 Bn |
| 2 | Banco Santander Chile | 405.91 Bn | -7,111.19 Bn | - | -706.70 Mn |
| 3 | Bank Of America | 344.61 Bn | -2,031.50 Bn | - | -62.60 Bn |
| 4 | Hsbc Holdings | 302.63 Bn | -1,800.57 Bn | - | -29.26 Bn |
| 5 | Morgan Stanley | 285.60 Bn | -258.43 Bn | - | 3.09 Bn |
| 6 | Royal Bank Of Canada | 285.44 Bn | -544.56 Bn | - | -14.33 Bn |
| 7 | Wells Fargo & Company | 254.50 Bn | 256.61 Bn | - | -29.31 Bn |
| 8 | Goldman Sachs | 250.58 Bn | -3,492.87 Bn | - | -23.28 Bn |
| 9 | Mitsubishi Ufj Financial | 250.17 Bn | -82.07 Bn | 10.89 Bn | -132.92 Bn |
| 10 | Grupo Cibest | 88.53 Bn | 80.53 Bn | - | 444.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 444.71 Mn |
| Dec 31, 2024 | -2.31 Bn |
| Dec 31, 2023 | 3.16 Bn |
Grupo Cibest Net Cash Flow 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=net-cash-flow-annual&ticker=CIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow-annual", "ticker": "CIB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow-annual&ticker=CIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();