Schwab Charles (SCHW) Change in Other Operating Liabilities (2009 - 2026)
Schwab Charles' Change in Other Operating Liabilities was $21.7 billion in Q2 2026, up 86.8% from $11.62 billion a year earlier and up 434.1% from the prior quarter.
Schwab Charles (SCHW) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Schwab Charles' Change in Other Operating Liabilities was $39.86 billion through Jun 30, 2026, down 5.4% year-over-year; for FY2025, it came in at $27.14 billion, up 15.7% from FY2024.
- Change in Other Operating Liabilities shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In earlier years, Change in Other Operating Liabilities was $23.46 billion in FY2024, -$10.84 billion in FY2023, -$31.08 billion in FY2022 and $21.47 billion in FY2021 (-6.3%).
- The Q2 2026 figure marks the highest quarterly Change in Other Operating Liabilities in data going back to Q3 2012.
- Compared with a year earlier, Change in Other Operating Liabilities was higher in two of the last five quarters, with growth averaging 26.8%.
- Per Business Quant data, SCHW's Change in Other Operating Liabilities in the three quarters before Q2 2026 was $4.06 billion (Q1 2026), $4.23 billion (Q4 2025) and $9.87 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 14.06 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 | - | 18.40 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 6.92 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 12.64 Bn |
| 10 | Schwab Charles | 160.43 Bn | -7.81 Bn | - | 3.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.90 Bn |
| Jun 30, 2026 | 21.70 Bn |
| Mar 31, 2026 | 4.06 Bn |
| Dec 31, 2025 | 4.23 Bn |
| Sep 30, 2025 | 9.87 Bn |
| Jun 30, 2025 | 11.62 Bn |
| Mar 31, 2025 | 1.43 Bn |
| Dec 31, 2024 | 9.31 Bn |
| Sep 30, 2024 | 19.77 Bn |
| Jun 30, 2024 | -4.89 Bn |
| Mar 31, 2024 | -726.00 Mn |
| Dec 31, 2023 | 13.78 Bn |
| Sep 30, 2023 | -11.98 Bn |
| Jun 30, 2023 | -2.76 Bn |
| Mar 31, 2023 | -9.89 Bn |
| Dec 31, 2022 | -15.42 Bn |
| Sep 30, 2022 | -4.87 Bn |
| Jun 30, 2022 | -10.43 Bn |
| Mar 31, 2022 | -364.00 Mn |
| Dec 31, 2021 | 12.62 Bn |
Schwab Charles Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=SCHW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=SCHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();