dLocal (DLO) Shares Outstanding (Diluted) (2019 - 2026)
dLocal (DLO) reported Shares Outstanding (Diluted) of 301.74 million for Q2 2026, down 1.1% from 305.14 million a year earlier and unchanged from the prior quarter.
dLocal (DLO) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, dLocal's Shares Outstanding (Diluted) record includes 26 quarters.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 305.14 million in FY2024 (+0.7%), 302.96 million in FY2023 (-3.3%), 313.14 million in FY2022 (+1.4%) and 308.93 million in FY2021 (+8.5%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 284.84 million in Q3 2021 and a high of 313.14 million in Q3 2023.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last three quarters, with an average decline of 0.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2022 (growth of 8.5%); the low point was Q4 2023 (a decline of 3.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 301.74 million (Q1 2026), 301.74 million (Q4 2025) and 305.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 263.41 Mn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 882.00 Mn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 608.85 Mn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 316.12 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 66.33 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 533.70 Mn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 270.12 Mn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 443.95 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 85.41 Mn |
| 10 | dLocal | 4.08 Bn | 769.99 Mn | 127.15 Mn | 301.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.74 Mn |
| Mar 31, 2026 | 301.74 Mn |
| Dec 31, 2025 | 301.74 Mn |
| Sep 30, 2025 | 305.14 Mn |
| Jun 30, 2025 | 305.14 Mn |
| Mar 31, 2025 | 305.14 Mn |
| Dec 31, 2024 | 305.14 Mn |
| Sep 30, 2024 | 302.96 Mn |
| Jun 30, 2024 | 302.96 Mn |
| Mar 31, 2024 | 302.96 Mn |
| Dec 31, 2023 | 302.96 Mn |
| Sep 30, 2023 | 313.14 Mn |
| Jun 30, 2023 | 313.14 Mn |
| Mar 31, 2023 | 313.14 Mn |
| Dec 31, 2022 | 313.14 Mn |
| Sep 30, 2022 | 308.93 Mn |
| Jun 30, 2022 | 308.93 Mn |
| Mar 31, 2022 | 308.93 Mn |
| Dec 31, 2021 | 308.93 Mn |
| Sep 30, 2021 | 284.84 Mn |
dLocal Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=DLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();