PicS (PICS) Cash & Equivalents (2023 - 2026)
PicS's Cash & Equivalents was $1.21 billion in the quarter ended Jun 30, 2026, up 33.8% from $901.99 million a year earlier and up 16.0% from the prior quarter.
PicS (PICS) Cash & Equivalents (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Cash & Equivalents at PicS came in at $692.14 million, down 50.4% from the prior year.
- In earlier years, Cash & Equivalents was $1.39 billion in the year ended Dec 31, 2024 (-5.7%) and $1.48 billion in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Cash & Equivalents since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last four quarters, with an average decline of 0.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | PicS | 1,686.00 | 532,181.59 | 246.23 Mn | 1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 716.60 Mn |
| Jun 30, 2025 | 901.99 Mn |
| Mar 31, 2025 | 853.71 Mn |
| Dec 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.49 Bn |
PicS 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=PICS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PICS", "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=PICS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();