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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | PicS | 2,760.00 | -24.47 Bn | 246.23 Mn | 1.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 705.49 Mn |
| Jun 30, 2025 | 932.10 Mn |
| Mar 31, 2025 | 868.77 Mn |
| Dec 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.52 Bn |
API Access
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_KEYimport 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();