PicS (PICS) Receivables - Doubtful (2023 - 2026)
PicS's Receivables - Doubtful was $460.42 million in the quarter ended Jun 30, 2026, up 138.1% from $193.39 million a year earlier and up 147.8% from the prior quarter.
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Analysis
PicS (PICS) Receivables - Doubtful (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables - Doubtful at PicS came in at $453 million, up 173.7% from the prior year.
- In earlier years, Receivables - Doubtful was $165.53 million in the year ended Dec 31, 2024 and $2.86 million in the year ended Dec 31, 2023.
- Quarterly Receivables - Doubtful has moved between $2.89 million (the quarter ended Dec 31, 2023) and $469.01 million (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Receivables - Doubtful has increased for three straight quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Doubtful (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -7.61 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | PicS | 1,664.00 | 532,159.59 | 246.23 Mn | 460.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.42 Mn |
| Mar 31, 2026 | 185.77 Mn |
| Dec 31, 2025 | 469.01 Mn |
| Jun 30, 2025 | 193.39 Mn |
| Mar 31, 2025 | 81.94 Mn |
| Dec 31, 2024 | 152.63 Mn |
| Dec 31, 2023 | 2.89 Mn |
API Access
PicS Receivables - Doubtful 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=receivables-doubtful&ticker=PICS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-doubtful", "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=receivables-doubtful&ticker=PICS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();