dLocal (DLO) Total Current Liabilities (2020 - 2026)
dLocal (DLO) posted Total Current Liabilities of $1.64 billion for Q2 2026, up 114.3% from $766.52 million a year earlier and up 29.8% from the prior quarter.
dLocal (DLO) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, dLocal's Total Current Liabilities came in at $965.91 million, up 42.5% from FY2024.
- Annual Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 44.2% (FY2020 to FY2025).
- In prior years, dLocal's Total Current Liabilities was $677.62 million in FY2024 (+8.4%), $625.23 million in FY2023 (+48.1%), $422.27 million in FY2022 (+41.5%) and $298.4 million in FY2021 (+92.3%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 17 quarters, with growth averaging 38.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 2.5% in Q2 2025 to 114.3% in Q2 2026.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.27 billion (Q1 2026), $965.91 million (Q4 2025) and $897.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | 11.21 Bn |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | 47.89 Bn |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | 7.28 Bn |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | 22.78 Bn |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | 17.02 Bn |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | 13.49 Bn |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | 664.50 Mn |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | 556.24 Mn |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | 417.93 Mn |
| 10 | dLocal | 4.06 Bn | 758.60 Mn | 127.15 Mn | 1.64 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.64 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 965.91 Mn |
| Sep 30, 2025 | 897.76 Mn |
| Jun 30, 2025 | 766.52 Mn |
| Mar 31, 2025 | 691.76 Mn |
| Dec 31, 2024 | 677.62 Mn |
| Sep 30, 2024 | 709.89 Mn |
| Jun 30, 2024 | 747.88 Mn |
| Mar 31, 2024 | 673.64 Mn |
| Dec 31, 2023 | 625.23 Mn |
| Sep 30, 2023 | 566.51 Mn |
| Jun 30, 2023 | 613.30 Mn |
| Mar 31, 2023 | 463.12 Mn |
| Dec 31, 2022 | 422.27 Mn |
| Sep 30, 2022 | 452.88 Mn |
| Jun 30, 2022 | 363.68 Mn |
| Mar 31, 2022 | 370.47 Mn |
| Dec 31, 2021 | 298.40 Mn |
| Sep 30, 2021 | 256.56 Mn |
dLocal Total Current Liabilities 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=total-current-liabilities&ticker=DLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();