dLocal (DLO) Capital Expenditures (2022 - 2025)
dLocal's Capital Expenditures came in at -$11.49 million for Q4 2025, compared with -$6.13 million a year earlier.
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Analysis
dLocal (DLO) Capital Expenditures (2022 - 2025) Analysis & Trends
For FY2025, dLocal's Capital Expenditures was -$2.28 million.
- Going back by year, Capital Expenditures was -$1.71 million in FY2024, -$965,000 in FY2023, $987,000 in FY2022 (-49.4%) and $1.95 million in FY2021 (+122.5%).
- The Q4 2025 figure represents the lowest quarterly Capital Expenditures in data going back to Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 208.00 Mn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 53.21 Mn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 1.33 Bn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 54.44 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 498.00 Mn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 235.66 Mn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 30,000.00 |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 2.12 Mn |
| 10 | dLocal | 4.06 Bn | 752.30 Mn | 127.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -11.49 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Dec 31, 2024 | -6.13 Mn |
| Dec 31, 2023 | 21,000.00 |
| Sep 30, 2023 | -329,000.00 |
| Jun 30, 2023 | -608,000.00 |
| Dec 31, 2022 | -128,000.00 |
| Sep 30, 2022 | -285,000.00 |
| Jun 30, 2022 | -494,000.00 |
API Access
dLocal Capital Expenditures 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=capital-expenditures&ticker=DLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();