First Keystone (FKYS) Provision for Losses (2010 - 2026)
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Analysis
First Keystone (FKYS) Provision for Losses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | First Keystone | 118.89 Mn | -482.28 Mn | - | -299,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -299,000.00 |
| Mar 31, 2026 | -390,000.00 |
| Dec 31, 2025 | 3.93 Mn |
| Sep 30, 2025 | 255,000.00 |
| Jun 30, 2025 | -237,000.00 |
| Mar 31, 2025 | 751,000.00 |
| Dec 31, 2024 | 148,000.00 |
| Sep 30, 2024 | 718,000.00 |
| Jun 30, 2024 | 510,000.00 |
| Mar 31, 2024 | 264,000.00 |
| Dec 31, 2023 | 119,000.00 |
| Sep 30, 2023 | -370,000.00 |
| Jun 30, 2023 | 34,000.00 |
| Dec 31, 2022 | -920,000.00 |
| Sep 30, 2022 | 219,000.00 |
| Jun 30, 2022 | 218,000.00 |
| Mar 31, 2022 | 219,000.00 |
| Dec 31, 2021 | 405,000.00 |
| Sep 30, 2021 | 185,000.00 |
| Jun 30, 2021 | 135,000.00 |
API Access
First Keystone Provision for Losses 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=provision-for-losses&ticker=FKYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "FKYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=FKYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();