Western New England Bancorp (WNEB) Amortization - Intangibles (2018 - 2020)
Western New England Bancorp (WNEB) recorded Amortization - Intangibles of $93,000 in Q1 2020, down 1.1% from $94,000 a year earlier and down 1.1% from the prior quarter.
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Analysis
Western New England Bancorp (WNEB) Amortization - Intangibles (2018 - 2020) Analysis & Trends
On a TTM basis, Western New England Bancorp's Amortization - Intangibles came in at $375,000 as of Mar 31, 2020, down 0.3% year-over-year; for FY2019, it came in at $376,000, up 0.3% from FY2018.
- Annual Amortization - Intangibles has a three-year compound annual growth rate of 72.7% (FY2016 to FY2019).
- Across earlier years, Amortization - Intangibles came in at $375,000 in FY2018 (unchanged), $375,000 in FY2017 (+413.7%) and $73,000 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Western New England Bancorp | 274.43 Mn | 272.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 93,000.00 |
| Dec 31, 2019 | 94,000.00 |
| Sep 30, 2019 | 94,000.00 |
| Mar 31, 2019 | 94,000.00 |
| Dec 31, 2018 | 94,000.00 |
| Sep 30, 2018 | 94,000.00 |
| Mar 31, 2018 | 94,000.00 |
API Access
Western New England Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=WNEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "WNEB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=WNEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();