dLocal (DLO) Cash & Equivalents (2019 - 2026)
dLocal's Cash & Equivalents was $794.94 million in Q2 2026, up 66.7% from $476.94 million a year earlier but down 2.5% from the prior quarter.
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Analysis
dLocal (DLO) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at dLocal came in at $719.9 million, up 69.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 45.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $425.17 million in FY2024 (-20.7%), $536.16 million in FY2023 (+14.5%), $468.09 million in FY2022 (+39.2%) and $336.2 million in FY2021 (+200.9%).
- Quarterly Cash & Equivalents has moved between $293.06 million (Q3 2021) and $815.61 million (Q1 2026) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 21.8% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 200.9%); the worst was Q4 2024 (a decline of 20.7%).
- Per Business Quant data, DLO's Cash & Equivalents in the three quarters before Q2 2026 was $815.61 million (Q1 2026), $719.9 million (Q4 2025) and $604.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | 7.86 Bn |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | 7.16 Bn |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | 8.60 Bn |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | 545.00 Mn |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | 3.07 Bn |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | 5.57 Bn |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | 372.89 Mn |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | 12.06 Mn |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | 636.66 Mn |
| 10 | dLocal | 4.06 Bn | 758.60 Mn | 127.15 Mn | 794.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 794.94 Mn |
| Mar 31, 2026 | 815.61 Mn |
| Dec 31, 2025 | 719.90 Mn |
| Sep 30, 2025 | 604.47 Mn |
| Jun 30, 2025 | 476.94 Mn |
| Mar 31, 2025 | 511.51 Mn |
| Dec 31, 2024 | 425.17 Mn |
| Sep 30, 2024 | 560.53 Mn |
| Jun 30, 2024 | 531.62 Mn |
| Mar 31, 2024 | 572.36 Mn |
| Dec 31, 2023 | 536.16 Mn |
| Sep 30, 2023 | 498.17 Mn |
| Jun 30, 2023 | 536.16 Mn |
| Mar 31, 2023 | 517.89 Mn |
| Dec 31, 2022 | 468.09 Mn |
| Sep 30, 2022 | 542.30 Mn |
| Jun 30, 2022 | 453.99 Mn |
| Mar 31, 2022 | 410.06 Mn |
| Dec 31, 2021 | 336.20 Mn |
| Sep 30, 2021 | 293.06 Mn |
API Access
dLocal Cash & Equivalents 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-and-equivalents&ticker=DLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();