Skyline Bankshares (SLBK) Amortizatization of Intangibles (2016 - 2026)
Skyline Bankshares (SLBK) reported Amortizatization of Intangibles of $166,000 for Q2 2026, down 20.2% from $208,000 a year earlier and down 1.8% from the prior quarter.
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Analysis
Skyline Bankshares (SLBK) Amortizatization of Intangibles (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Skyline Bankshares' Amortizatization of Intangibles came in at $687,000, down 7.5% year-over-year; for FY2025, it was $772,000, up 60.2% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $482,000 in FY2024 (+30.6%), $369,000 in FY2023 (-22.8%), $478,000 in FY2022 (-19.7%) and $595,000 in FY2021 (-16.3%).
- The Q2 2026 figure ranks as the lowest quarterly Amortizatization of Intangibles since Q3 2024.
- Year over year, Amortizatization of Intangibles has now declined in each of the last three quarters, with growth averaging 67.5% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q4 2024 (growth of 170.0%); the low point was Q3 2023 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $169,000 (Q1 2026), $174,000 (Q4 2025) and $178,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Skyline Bankshares | 159.39 Mn | 159.39 Mn | - | 166,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166,000.00 |
| Mar 31, 2026 | 169,000.00 |
| Dec 31, 2025 | 174,000.00 |
| Sep 30, 2025 | 178,000.00 |
| Jun 30, 2025 | 208,000.00 |
| Mar 31, 2025 | 212,000.00 |
| Dec 31, 2024 | 216,000.00 |
| Sep 30, 2024 | 107,000.00 |
| Jun 30, 2024 | 79,000.00 |
| Mar 31, 2024 | 80,000.00 |
| Dec 31, 2023 | 80,000.00 |
| Sep 30, 2023 | 79,000.00 |
| Jun 30, 2023 | 105,000.00 |
| Mar 31, 2023 | 105,000.00 |
| Dec 31, 2022 | 105,000.00 |
| Sep 30, 2022 | 105,000.00 |
| Jun 30, 2022 | 134,000.00 |
| Mar 31, 2022 | 134,000.00 |
| Dec 31, 2021 | 134,000.00 |
| Sep 30, 2021 | 134,000.00 |
API Access
Skyline Bankshares Amortizatization of 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=amortizatization-of-intangibles&ticker=SLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SLBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();