Xp (XP) Operating Income (2018 - 2026)
Xp (XP) posted Operating Income of $441.96 million for Q2 2026, up 22.2% from $361.67 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Xp (XP) Operating Income (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Xp was $1.78 billion, down 43.8% year-over-year; for FY2025, it came in at $1.43 billion, down 54.4% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, Xp's Operating Income was $3.13 billion in FY2024 (+7.0%), $2.93 billion in FY2023 (+159.4%), $1.13 billion in FY2022 (+20.7%) and $935.29 million in FY2021 (+76.5%).
- Quarterly Operating Income has run from a low of -$1.1 billion in Q4 2022 to a high of $1.75 billion in Q4 2024 over five years.
- On a year-over-year basis, Operating Income increased in four of the last eight quarters, with growth averaging 61.5%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q4 2024, with growth of 395.9%; the weakest was Q4 2025, with a decline of 71.6%.
- According to Business Quant data, Operating Income for the three prior quarters was $404.9 million (Q1 2026), $495.99 million (Q4 2025) and $437.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.80 Bn | 96.13 Bn | - | 1.14 Bn |
| 2 | Bank of New York Mellon | 101.26 Bn | 101.26 Bn | - | - |
| 3 | Intercontinental Exchange | 89.59 Bn | 83.33 Bn | - | 1.39 Bn |
| 4 | Robinhood Markets | 85.59 Bn | 66.62 Bn | - | - |
| 5 | Nasdaq | 58.34 Bn | 55.78 Bn | 1.48 Bn | 732.00 Mn |
| 6 | State Street | 47.22 Bn | 47.22 Bn | - | - |
| 7 | Interactive Brokers | 36.83 Bn | 36.83 Bn | - | - |
| 8 | Cboe Global Markets | 34.46 Bn | 26.12 Bn | 731.60 Mn | 476.00 Mn |
| 9 | Northern Trust | 31.34 Bn | 31.34 Bn | - | - |
| 10 | Xp | 8.76 Bn | -13.07 Bn | 105.39 Mn | -231.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -231.17 Mn |
| Mar 31, 2026 | -218.70 Mn |
| Dec 31, 2025 | -139.11 Mn |
| Sep 30, 2025 | -180.97 Mn |
| Jun 30, 2025 | -193.84 Mn |
| Mar 31, 2025 | -247.20 Mn |
| Dec 31, 2024 | -360.66 Mn |
| Sep 30, 2024 | 529.91 Bn |
| Jun 30, 2024 | -143.04 Mn |
| Mar 31, 2024 | 553.21 Bn |
| Dec 31, 2023 | 554.88 Bn |
| Sep 30, 2023 | 593.14 Bn |
| Jun 30, 2023 | -178.76 Mn |
| Mar 31, 2023 | 184.87 Mn |
| Dec 31, 2022 | 168.42 Mn |
| Sep 30, 2022 | 211.68 Mn |
| Jun 30, 2022 | 204.29 Mn |
| Mar 31, 2022 | 187.52 Mn |
| Dec 31, 2021 | 709.78 Mn |
| Sep 30, 2021 | 182.69 Mn |
API Access
Xp Operating 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=operating-income&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();