First Keystone (FKYS) Goodwill impairment charges (2024)
First Keystone's Goodwill impairment charges came in at $19.13 million for FY2024.
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Analysis
First Keystone (FKYS) Goodwill impairment charges (2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - |
| 10 | First Keystone | 118.89 Mn | -482.28 Mn | - |
API Access
First Keystone Goodwill impairment charges 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=goodwill-impairment-charges&ticker=FKYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-impairment-charges", "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=goodwill-impairment-charges&ticker=FKYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();