Xp (XP) Profit After Tax (2018 - 2026)
Xp's Profit After Tax came in at $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) Profit After Tax (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xp reported Profit After Tax of $1.16 billion, up 26.3% year-over-year; for FY2025, it came in at $1.03 billion, up 0.8% from FY2024.
- Profit After Tax has increased in each of the last three years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, Profit After Tax was $1.02 billion in FY2024 (+26.9%), $802.6 million in FY2023 (+27.6%), $629.02 million in FY2022 (-13.1%) and $723.92 million in FY2021 (+41.5%).
- The five-year range for quarterly Profit After Tax is -$45.19 million (Q4 2023) to $332.57 million (Q4 2025).
- Year-over-year, Profit After Tax has increased for four consecutive quarters, with growth averaging 8.6% over the last seven quarters.
- The fastest year-over-year change in Profit After Tax over five years came in Q2 2024 (growth of 63.9%), and the weakest in Q2 2025 (a decline of 26.8%).
- Business Quant data shows XP's Profit After Tax at $260.21 million (Q1 2026), $332.57 million (Q4 2025) and $244.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (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 Profit After Tax 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=profit-after-tax&ticker=XP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();