Schwab Charles (SCHW) Amortization - Intangibles (2019 - 2026)
Schwab Charles (SCHW) recorded Amortization - Intangibles of $141 million in Q3 2026, up 11.0% from $127 million a year earlier but down 0.7% from the prior quarter.
Schwab Charles (SCHW) Amortization - Intangibles (2019 - 2026) Analysis & Trends
On a TTM basis, Schwab Charles' Amortization - Intangibles came in at $542 million as of Sep 30, 2026, up 5.2% year-over-year; for FY2025, it was $512 million, down 1.3% from FY2024.
- Annual Amortization - Intangibles has declined for four straight years, though with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $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%).
- Quarterly Amortization - Intangibles has ranged from $127 million in Q3 2025 to $154 million in Q2 2022 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has increased for three consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 11.0% in Q3 2026, against a decline of 13.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $142 million (Q2 2026), $132 million (Q1 2026) and $127 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Schwab Charles | 160.43 Bn | -7.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 141.00 Mn |
| 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 |
Schwab Charles 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=SCHW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=SCHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();