Schwab Charles (SCHW) Amortizatization of Intangibles (2019 - 2026)
Schwab Charles' Amortizatization of Intangibles came in at $142 million for Q2 2026, up 10.9% from $128 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Schwab Charles (SCHW) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Schwab Charles reported Amortizatization of Intangibles of $528 million, up 1.9% year-over-year; for FY2025, it came in at $512 million, down 1.3% from FY2024.
- Amortizatization of Intangibles has declined in each of the last four years, though with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $519 million in FY2024 (-2.8%), $534 million in FY2023 (-10.4%), $596 million in FY2022 (-3.1%) and $615 million in FY2021 (+223.7%).
- The Q2 2026 figure represents the highest quarterly Amortizatization of Intangibles since Q3 2022.
- Year-over-year, Amortizatization of Intangibles increased in two of the last eight quarters, with growth averaging 0.4%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q3 2021 (growth of 512.0%), and the weakest in Q2 2023 (a decline of 13.0%).
- Business Quant data shows SCHW's Amortizatization of Intangibles at $132 million (Q1 2026), $127 million (Q4 2025) and $127 million (Q3 2025) in the three quarters before Q2 2026.
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 | Schwab Charles | 167.23 Bn | 5.07 Bn | - | 142.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.00 Mn |
| Mar 31, 2026 | 132.00 Mn |
| Dec 31, 2025 | 127.00 Mn |
| Sep 30, 2025 | 127.00 Mn |
| Jun 30, 2025 | 128.00 Mn |
| Mar 31, 2025 | 130.00 Mn |
| Dec 31, 2024 | 130.00 Mn |
| Sep 30, 2024 | 130.00 Mn |
| Jun 30, 2024 | 129.00 Mn |
| Mar 31, 2024 | 130.00 Mn |
| Dec 31, 2023 | 130.00 Mn |
| Sep 30, 2023 | 135.00 Mn |
| Jun 30, 2023 | 134.00 Mn |
| Mar 31, 2023 | 135.00 Mn |
| Dec 31, 2022 | 136.00 Mn |
| Sep 30, 2022 | 152.00 Mn |
| Jun 30, 2022 | 154.00 Mn |
| Mar 31, 2022 | 154.00 Mn |
| Dec 31, 2021 | 154.00 Mn |
| Sep 30, 2021 | 153.00 Mn |
API Access
Schwab Charles 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=SCHW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SCHW", "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=SCHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();