dLocal (DLO) EBITDA (2020 - 2026)
dLocal (DLO) recorded EBITDA of $72.1 million in Q2 2026, up 17.6% from $61.31 million a year earlier and up 19.2% from the prior quarter.
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Analysis
dLocal (DLO) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, dLocal's EBITDA came in at $266.32 million as of Jun 30, 2026, up 29.7% year-over-year; for FY2025, it came in at $246.18 million, up 55.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 50.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $157.9 million in FY2024 (-17.1%), $190.47 million in FY2023 (+40.7%), $135.37 million in FY2022 (+52.8%) and $88.59 million in FY2021 (+179.0%).
- Quarterly EBITDA has ranged from $23.46 million in Q4 2022 to $72.24 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 32.3% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 152.8% in Q3 2021, against a decline of 32.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $60.49 million (Q1 2026), $72.24 million (Q4 2025) and $61.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | -66.41 Mn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 1.67 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 541.92 Mn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | -508.30 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 590.60 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 1.87 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 1.25 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | -11.48 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 78.84 Mn |
| 10 | dLocal | 4.08 Bn | 769.99 Mn | 127.15 Mn | 72.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.10 Mn |
| Mar 31, 2026 | 60.49 Mn |
| Dec 31, 2025 | 72.24 Mn |
| Sep 30, 2025 | 61.49 Mn |
| Jun 30, 2025 | 61.31 Mn |
| Mar 31, 2025 | 51.13 Mn |
| Dec 31, 2024 | 47.37 Mn |
| Sep 30, 2024 | 45.57 Mn |
| Jun 30, 2024 | 34.30 Mn |
| Mar 31, 2024 | 30.73 Mn |
| Dec 31, 2023 | 44.41 Mn |
| Sep 30, 2023 | 54.65 Mn |
| Jun 30, 2023 | 50.64 Mn |
| Mar 31, 2023 | 44.05 Mn |
| Dec 31, 2022 | 23.46 Mn |
| Sep 30, 2022 | 41.13 Mn |
| Jun 30, 2022 | 38.54 Mn |
| Mar 31, 2022 | 32.23 Mn |
| Dec 31, 2021 | 25.89 Mn |
| Sep 30, 2021 | 24.07 Mn |
API Access
dLocal EBITDA 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=ebitda&ticker=DLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();