dLocal (DLO) Return on Capital Employed [ROCE] (2021 - 2026)
dLocal (DLO) recorded Return on Capital Employed [ROCE] of 64.28% in Q2 2026, up 25.35 percentage points from 38.94% a year earlier and up 10.03 percentage points from the prior quarter.
dLocal (DLO) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, dLocal reported Return on Capital Employed [ROCE] of 56.35%, up 25.15 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -33.47 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 31.20% in FY2024 (-23.21 pp), 54.42% in FY2023 (+9.12 pp), 45.30% in FY2022 (-44.52 pp) and 89.82% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +6.99 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 25.35 percentage points in Q2 2026, against a drop of 14.23 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 54.25% (Q1 2026), 43.21% (Q4 2025) and 46.66% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | 4.10% |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | 17.00% |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | 1.02% |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | -4.21% |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | 20.60% |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | 1.58% |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | 7.92% |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | 24.98% |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | 2.85% |
| 10 | dLocal | 4.06 Bn | 758.60 Mn | 127.15 Mn | 64.28% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.28% |
| Mar 31, 2026 | 54.25% |
| Dec 31, 2025 | 43.21% |
| Sep 30, 2025 | 46.66% |
| Jun 30, 2025 | 38.94% |
| Mar 31, 2025 | 30.98% |
| Dec 31, 2024 | 28.46% |
| Sep 30, 2024 | 29.40% |
| Jun 30, 2024 | 34.96% |
| Mar 31, 2024 | 37.44% |
| Dec 31, 2023 | 42.70% |
| Sep 30, 2023 | 37.39% |
| Jun 30, 2023 | 46.24% |
| Mar 31, 2023 | 35.87% |
| Dec 31, 2022 | 31.34% |
| Sep 30, 2022 | 39.40% |
| Jun 30, 2022 | 33.03% |
| Mar 31, 2022 | 35.75% |
| Dec 31, 2021 | 33.40% |
| Sep 30, 2021 | 28.90% |
dLocal 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=DLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DLO", "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=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();