International Bancshares (IBOC) Operating Expenses (2009 - 2026)
International Bancshares (IBOC) recorded Operating Expenses of $82.61 million in Q2 2026, up 6.2% from $77.8 million a year earlier and up 8.6% from the prior quarter.
International Bancshares (IBOC) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, International Bancshares' Operating Expenses came in at $313.8 million as of Jun 30, 2026, up 4.3% year-over-year; for FY2025, it came in at $306.72 million, up 4.6% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $293.12 million in FY2024 (+6.5%), $275.35 million in FY2023 (+1.8%), $270.47 million in FY2022 (+2.7%) and $263.32 million in FY2021 (-6.4%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2012.
- On a year-over-year basis, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 9.9% in Q4 2023, against a decline of 5.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $76.05 million (Q1 2026), $75.38 million (Q4 2025) and $79.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | International Bancshares | 4.32 Bn | 4.32 Bn | - | 82.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.61 Mn |
| Mar 31, 2026 | 76.05 Mn |
| Dec 31, 2025 | 75.38 Mn |
| Sep 30, 2025 | 79.76 Mn |
| Jun 30, 2025 | 77.80 Mn |
| Mar 31, 2025 | 73.78 Mn |
| Dec 31, 2024 | 73.15 Mn |
| Sep 30, 2024 | 76.22 Mn |
| Jun 30, 2024 | 74.11 Mn |
| Mar 31, 2024 | 69.64 Mn |
| Dec 31, 2023 | 68.59 Mn |
| Sep 30, 2023 | 71.20 Mn |
| Jun 30, 2023 | 67.53 Mn |
| Mar 31, 2023 | 68.03 Mn |
| Dec 31, 2022 | 62.42 Mn |
| Sep 30, 2022 | 75.17 Mn |
| Jun 30, 2022 | 68.76 Mn |
| Mar 31, 2022 | 64.12 Mn |
| Dec 31, 2021 | 61.45 Mn |
| Sep 30, 2021 | 69.73 Mn |
International Bancshares Operating 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=operating-expenses&ticker=IBOC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IBOC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=IBOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();