Schwab Charles (SCHW) Accumulated Expenses (2009 - 2026)
Schwab Charles' Accumulated Expenses was $12.53 billion in Q2 2026, up 15.9% from $10.81 billion a year earlier and up 4.6% from the prior quarter.
Schwab Charles (SCHW) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Schwab Charles came in at $12.83 billion, up 4.1% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $12.33 billion in FY2024 (+4.9%), $11.75 billion in FY2023 (-10.5%), $13.12 billion in FY2022 (-26.2%) and $17.79 billion in FY2021 (+4.1%).
- Quarterly Accumulated Expenses has moved between $10.81 billion (Q2 2025) and $27.58 billion (Q3 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 3.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 157.9%); the worst was Q3 2025 (a decline of 58.6%).
- Per Business Quant data, SCHW's Accumulated Expenses in the three quarters before Q2 2026 was $11.98 billion (Q1 2026), $12.83 billion (Q4 2025) and $11.42 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | Schwab Charles | 156.64 Bn | -5.51 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.53 Bn |
| Mar 31, 2026 | 11.98 Bn |
| Dec 31, 2025 | 12.83 Bn |
| Sep 30, 2025 | 11.42 Bn |
| Jun 30, 2025 | 10.81 Bn |
| Mar 31, 2025 | 11.01 Bn |
| Dec 31, 2024 | 12.33 Bn |
| Sep 30, 2024 | 27.58 Bn |
| Jun 30, 2024 | 16.49 Bn |
| Mar 31, 2024 | 17.64 Bn |
| Dec 31, 2023 | 11.75 Bn |
| Sep 30, 2023 | 16.04 Bn |
| Jun 30, 2023 | 13.84 Bn |
| Mar 31, 2023 | 13.22 Bn |
| Dec 31, 2022 | 13.12 Bn |
| Sep 30, 2022 | 13.45 Bn |
| Jun 30, 2022 | 13.70 Bn |
| Mar 31, 2022 | 15.61 Bn |
| Dec 31, 2021 | 17.79 Bn |
| Sep 30, 2021 | 19.25 Bn |
Schwab Charles Accumulated Expenses 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=accumulated-expenses&ticker=SCHW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SCHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();