Xp (XP) Revenue (2018 - 2026)
Xp (XP) posted Revenue of $388.98 million for Q2 2026, up 22.7% from $316.98 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Xp (XP) Revenue (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Xp was $1.59 billion, up 24.5% year-over-year; for FY2025, it was $1.43 billion, up 3.0% from FY2024.
- Annual Revenue has increased for three consecutive years, though with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In prior years, Xp's Revenue was $1.39 billion in FY2024 (+5.0%), $1.32 billion in FY2023 (+16.8%), $1.13 billion in FY2022 (-47.8%) and $2.17 billion in FY2021 (+43.4%).
- Quarterly Revenue has run from a low of $379.96 in Q4 2023 to a high of $451.1 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with growth averaging 9.1% over the last seven quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2025, with growth of 37.1%; the weakest was Q4 2023, with a decline of 100.0%.
- According to Business Quant data, Revenue for the three prior quarters was $367.09 million (Q1 2026), $451.1 million (Q4 2025) and $383.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 1.31 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 5.67 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 1.71 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 3.61 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 2.53 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 4.05 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 1.90 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 1.35 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 1.44 Bn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | 388.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 388.98 Mn |
| Mar 31, 2026 | 367.09 Mn |
| Dec 31, 2025 | 451.10 Mn |
| Sep 30, 2025 | 383.59 Mn |
| Jun 30, 2025 | 316.98 Mn |
| Mar 31, 2025 | 281.57 Mn |
| Dec 31, 2024 | 329.00 Mn |
| Sep 30, 2024 | 349.94 Mn |
| Jun 30, 2024 | 374.77 Mn |
| Mar 31, 2024 | 328.39 Mn |
| Dec 31, 2023 | 379.96 |
| Sep 30, 2023 | 373.37 Mn |
| Jun 30, 2023 | 299.40 Mn |
| Mar 31, 2023 | 259.21 Mn |
| Dec 31, 2022 | 297.49 Mn |
| Sep 30, 2022 | 297.44 Mn |
| Jun 30, 2022 | 316.95 Mn |
| Mar 31, 2022 | 242.04 Mn |
| Dec 31, 2021 | 278.24 Mn |
| Sep 30, 2021 | 304.58 Mn |
API Access
Xp Revenue 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=revenue&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "XP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();