dLocal (DLO) Cash from Operations (2020 - 2026)
dLocal's Cash from Operations came in at $140.52 million for Q2 2026, up 4.5% from $134.46 million a year earlier and up 51.5% from the prior quarter.
dLocal (DLO) Cash from Operations (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, dLocal reported Cash from Operations of $428.89 million, up 234.3% year-over-year; for FY2025, it was $415.46 million.
- Cash from Operations carries a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- Going back by year, Cash from Operations was -$32.78 million in FY2024, $293.45 million in FY2023 (+90.0%), $154.45 million in FY2022 (+42.4%) and $108.49 million in FY2021 (+22.6%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations in data going back to Q4 2020.
- Year-over-year, Cash from Operations increased in five of the last six quarters, with growth averaging 149.3%.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2024 (growth of 396.3%), and the weakest in Q3 2023 (a decline of 90.8%).
- Business Quant data shows DLO's Cash from Operations at $92.78 million (Q1 2026), $100.41 million (Q4 2025) and $95.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | 1.02 Bn |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | 1.59 Bn |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | 405.46 Mn |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | 1.01 Bn |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | -697.20 Mn |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | -160.89 Mn |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | 283.89 Mn |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | 302.67 Mn |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | 126.07 Mn |
| 10 | dLocal | 4.06 Bn | 758.60 Mn | 127.15 Mn | 140.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.52 Mn |
| Mar 31, 2026 | 92.78 Mn |
| Dec 31, 2025 | 100.41 Mn |
| Sep 30, 2025 | 95.17 Mn |
| Jun 30, 2025 | 134.46 Mn |
| Mar 31, 2025 | 95.41 Mn |
| Dec 31, 2024 | -141.13 Mn |
| Sep 30, 2024 | 39.57 Mn |
| Jun 30, 2024 | 42.22 Mn |
| Mar 31, 2024 | 39.97 Mn |
| Dec 31, 2023 | 64.44 Mn |
| Sep 30, 2023 | 7.97 Mn |
| Jun 30, 2023 | 139.50 Mn |
| Mar 31, 2023 | 84.53 Mn |
| Dec 31, 2022 | -41.37 Mn |
| Sep 30, 2022 | 86.29 Mn |
| Jun 30, 2022 | 33.62 Mn |
| Mar 31, 2022 | 75.91 Mn |
| Dec 31, 2021 | 39.35 Mn |
| Sep 30, 2021 | 29.44 Mn |
dLocal Cash from Operations 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=cash-from-operations&ticker=DLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();