Schwab Charles (SCHW) EBITDA (2009 - 2026)
Schwab Charles' EBITDA came in at $4.8 billion for Q2 2026, up 16.7% from $4.11 billion a year earlier and up 10.6% from the prior quarter.
Schwab Charles (SCHW) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Schwab Charles reported EBITDA of $17.75 billion, up 12.0% year-over-year; for FY2025, it came in at $16.58 billion, up 6.8% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $15.52 billion in FY2024 (+7.8%), $14.4 billion in FY2023 (+18.2%), $12.18 billion in FY2022 (+30.2%) and $9.35 billion in FY2021 (+75.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2009.
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 120.6%), and the weakest in Q4 2023 (a decline of 8.8%).
- Business Quant data shows SCHW's EBITDA at $4.34 billion (Q1 2026), $4.35 billion (Q4 2025) and $4.27 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 20.89 Bn |
| 10 | Schwab Charles | 167.23 Bn | 5.07 Bn | - | 4.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.80 Bn |
| Mar 31, 2026 | 4.34 Bn |
| Dec 31, 2025 | 4.35 Bn |
| Sep 30, 2025 | 4.27 Bn |
| Jun 30, 2025 | 4.11 Bn |
| Mar 31, 2025 | 3.85 Bn |
| Dec 31, 2024 | 3.98 Bn |
| Sep 30, 2024 | 3.91 Bn |
| Jun 30, 2024 | 3.77 Bn |
| Mar 31, 2024 | 3.86 Bn |
| Dec 31, 2023 | 3.40 Bn |
| Sep 30, 2023 | 3.51 Bn |
| Jun 30, 2023 | 3.83 Bn |
| Mar 31, 2023 | 3.67 Bn |
| Dec 31, 2022 | 3.72 Bn |
| Sep 30, 2022 | 3.43 Bn |
| Jun 30, 2022 | 2.75 Bn |
| Mar 31, 2022 | 2.28 Bn |
| Dec 31, 2021 | 2.45 Bn |
| Sep 30, 2021 | 2.43 Bn |
Schwab Charles EBITDA 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=ebitda&ticker=SCHW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SCHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();