International Bancshares (IBOC) Return on Sales [ROS] (2009 - 2026)
International Bancshares' Return on Sales [ROS] was 465.77% in Q2 2026, down 38.58 percentage points from 504.35% a year earlier and down 41.92 percentage points from the prior quarter.
International Bancshares (IBOC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, International Bancshares' Return on Sales [ROS] was 499.89% through Jun 30, 2026, down 10.82 percentage points year-over-year; for FY2025, it came in at 510.72%, up 7.75 percentage points from FY2024.
- Return on Sales [ROS] has now increased for five consecutive years, with a five-year change of +299.53 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 502.97% in FY2024 (+36.10 pp), 466.88% in FY2023 (+158.83 pp), 308.04% in FY2022 (+36.31 pp) and 271.74% in FY2021 (+60.54 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of +7.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 216.85 percentage points); the worst was Q2 2022 (a drop of 156.23 percentage points).
- Per Business Quant data, IBOC's Return on Sales [ROS] in the three quarters before Q2 2026 was 507.69% (Q1 2026), 503.43% (Q4 2025) and 522.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | International Bancshares | 4.34 Bn | 4.34 Bn | - | 465.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465.77% |
| Mar 31, 2026 | 507.69% |
| Dec 31, 2025 | 503.43% |
| Sep 30, 2025 | 522.91% |
| Jun 30, 2025 | 504.35% |
| Mar 31, 2025 | 512.34% |
| Dec 31, 2024 | 517.60% |
| Sep 30, 2024 | 508.49% |
| Jun 30, 2024 | 494.89% |
| Mar 31, 2024 | 490.38% |
| Dec 31, 2023 | 490.76% |
| Sep 30, 2023 | 467.29% |
| Jun 30, 2023 | 455.02% |
| Mar 31, 2023 | 452.58% |
| Dec 31, 2022 | 439.11% |
| Sep 30, 2022 | 308.07% |
| Jun 30, 2022 | 241.79% |
| Mar 31, 2022 | 235.73% |
| Dec 31, 2021 | 231.97% |
| Sep 30, 2021 | 216.22% |
International Bancshares Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IBOC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IBOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();