Xp (XP) EBITDA (2019 - 2026)
Xp (XP) posted EBITDA of $462.21 million for Q2 2026, up 23.2% from $375.19 million a year earlier and up 9.9% from the prior quarter.
Powered by 
Analysis
Xp (XP) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Xp was $1.84 billion, down 42.7% year-over-year; for FY2025, it came in at $1.48 billion, down 53.4% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior years, Xp's EBITDA was $3.18 billion in FY2024 (+6.8%), $2.98 billion in FY2023 (+155.0%), $1.17 billion in FY2022 (+19.6%) and $976.84 million in FY2021 (+75.6%).
- Quarterly EBITDA has run from a low of -$1.09 billion in Q4 2022 to a high of $1.76 billion in Q4 2024 over five years.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with growth averaging 58.3%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2024, with growth of 376.3%; the weakest was Q4 2025, with a decline of 70.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $420.74 million (Q1 2026), $510.4 million (Q4 2025) and $451.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 891.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 7.16 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 1.19 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 1.78 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 877.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 3.57 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 2.65 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 2.78 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 504.10 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | 462.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 462.21 Mn |
| Mar 31, 2026 | 420.74 Mn |
| Dec 31, 2025 | 510.40 Mn |
| Sep 30, 2025 | 451.44 Mn |
| Jun 30, 2025 | 375.19 Mn |
| Mar 31, 2025 | 259.85 Mn |
| Dec 31, 2024 | 1.76 Bn |
| Sep 30, 2024 | 825.40 Mn |
| Jun 30, 2024 | 429.64 Mn |
| Mar 31, 2024 | 307.33 Mn |
| Dec 31, 2023 | 368.86 Mn |
| Sep 30, 2023 | 331.00 Mn |
| Jun 30, 2023 | 346.78 Mn |
| Mar 31, 2023 | 219.89 Mn |
| Dec 31, 2022 | -1.09 Bn |
| Sep 30, 2022 | 295.18 Mn |
| Jun 30, 2022 | 313.02 Mn |
| Mar 31, 2022 | 679.44 Mn |
| Dec 31, 2021 | -423.54 Mn |
| Sep 30, 2021 | 252.76 Mn |
API Access
Xp EBITDA 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=ebitda&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();