Bladex (BLX) Return on Capital Employed [ROCE] (2009 - 2026)
Bladex (BLX) posted Return on Capital Employed [ROCE] of 16.60% for Q2 2026, down 0.68 percentage points from 17.28% a year earlier and down 2.20 percentage points from the prior quarter.
Bladex (BLX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Bladex's Return on Capital Employed [ROCE] came in at 27.95%, down 10.99 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +21.42 percentage points (FY2020 to FY2025).
- In prior years, Bladex's Return on Capital Employed [ROCE] was 38.94% in FY2024 (-17.22 pp), 56.16% in FY2023 (+35.54 pp), 20.62% in FY2022 (-68.27 pp) and 88.89% in FY2021 (+82.36 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 12.55% in Q3 2023 to a high of 169.36% in Q4 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -3.42 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 130.82 percentage points; the weakest was Q4 2022, with a drop of 154.32 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 18.80% (Q1 2026), 14.79% (Q4 2025) and 12.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 0.82% |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 86.85% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 10.79% |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Bladex | 2.06 Bn | -7.88 Bn | - | 16.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.60% |
| Mar 31, 2026 | 18.80% |
| Dec 31, 2025 | 14.79% |
| Sep 30, 2025 | 12.82% |
| Jun 30, 2025 | 17.28% |
| Mar 31, 2025 | 18.71% |
| Dec 31, 2024 | 18.48% |
| Sep 30, 2024 | 28.45% |
| Jun 30, 2024 | 25.43% |
| Mar 31, 2024 | 22.15% |
| Dec 31, 2023 | 30.27% |
| Sep 30, 2023 | 12.55% |
| Jun 30, 2023 | 19.04% |
| Mar 31, 2023 | 13.21% |
| Dec 31, 2022 | 15.05% |
| Sep 30, 2022 | 32.01% |
| Jun 30, 2022 | 66.43% |
| Mar 31, 2022 | 85.78% |
| Dec 31, 2021 | 169.36% |
| Jun 30, 2021 | 46.32% |
Bladex Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();