Xp (XP) Net Income (2018 - 2026)
Xp (XP) posted Net Income of $325.21 million for Q2 2026, up 40.1% from $232.17 million a year earlier and up 25.0% from the prior quarter.
Xp (XP) Net Income (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at Xp was $1.16 billion, up 26.3% year-over-year; for FY2025, it came in at $926.1 million, up 9.9% from FY2024.
- Annual Net Income has increased for seven consecutive years, with a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- In prior years, Xp's Net Income was $842.54 million in FY2024 (+7.0%), $787.67 million in FY2023 (+15.7%), $680.55 million in FY2022 (+5.7%) and $644.06 million in FY2021 (+67.1%).
- Quarterly Net Income has run from a low of -$45.19 million in Q4 2023 to a high of $332.57 million in Q4 2025 over five years.
- On a year-over-year basis, Net Income has increased in each of the last four quarters, with growth averaging 8.6% over the last seven quarters.
- The strongest year-over-year quarter for Net Income in the past five years was Q2 2024, with growth of 63.9%; the weakest was Q2 2025, with a decline of 26.8%.
- According to Business Quant data, Net Income for the three prior quarters was $260.21 million (Q1 2026), $332.57 million (Q4 2025) and $244.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 573.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 1.79 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 1.04 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 975.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 507.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 1.08 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 1.34 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 792.20 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 353.10 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | 325.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 325.21 Mn |
| Mar 31, 2026 | 260.21 Mn |
| Dec 31, 2025 | 332.57 Mn |
| Sep 30, 2025 | 244.29 Mn |
| Jun 30, 2025 | 232.17 Mn |
| Mar 31, 2025 | 220.04 Mn |
| Dec 31, 2024 | 244.69 Mn |
| Sep 30, 2024 | 223.32 Mn |
| Jun 30, 2024 | 317.22 Mn |
| Mar 31, 2024 | 232.03 Mn |
| Dec 31, 2023 | -45.19 Mn |
| Sep 30, 2023 | 251.65 Mn |
| Jun 30, 2023 | 193.55 Mn |
| Mar 31, 2023 | 160.99 Mn |
| Dec 31, 2022 | 131.92 Mn |
| Sep 30, 2022 | 178.46 Mn |
| Jun 30, 2022 | 167.76 Mn |
| Mar 31, 2022 | 164.29 Mn |
| Dec 31, 2021 | 177.63 Mn |
| Sep 30, 2021 | 168.61 Mn |
Xp Net Income 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=net-income&ticker=XP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();