Bladex (BLX) Return on Sales [ROS] (2009 - 2026)
Bladex (BLX) recorded Return on Sales [ROS] of 67.19% in Q2 2026, down 4.09 percentage points from 71.28% a year earlier and down 0.62 percentage points from the prior quarter.
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Analysis
Bladex (BLX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Bladex's Return on Sales [ROS] came in at 66.12% as of Jun 30, 2026, down 1.91 percentage points year-over-year; for FY2025, it came in at 100.00%, unchanged from FY2024.
- Annual Return on Sales [ROS] has a five-year change of 0.00 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 100.00% in FY2024 (unchanged), 100.00% in FY2023 (unchanged), 100.00% in FY2022 (unchanged) and 100.00% in FY2021 (unchanged).
- Quarterly Return on Sales [ROS] has ranged from -99.91% in Q4 2022 to 188.14% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -15.60 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 288.05 percentage points in Q4 2023, against a drop of 257.70 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 67.82% (Q1 2026), 63.06% (Q4 2025) and 66.40% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.19% |
| Mar 31, 2026 | 67.82% |
| Dec 31, 2025 | 63.06% |
| Sep 30, 2025 | 66.40% |
| Jun 30, 2025 | 71.28% |
| Mar 31, 2025 | 66.37% |
| Dec 31, 2024 | 65.66% |
| Sep 30, 2024 | 68.30% |
| Jun 30, 2024 | 66.79% |
| Mar 31, 2024 | 70.63% |
| Dec 31, 2023 | -105.41% |
| Sep 30, 2023 | -106.08% |
| Jun 30, 2023 | -118.47% |
| Mar 31, 2023 | 62.45% |
| Dec 31, 2022 | -99.91% |
| Sep 30, 2022 | -52.81% |
| Jun 30, 2022 | 93.63% |
| Mar 31, 2022 | 90.41% |
| Dec 31, 2021 | 157.79% |
| Sep 30, 2021 | 121.87% |
API Access
Bladex 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=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BLX", "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=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();