Xp (XP) Cash from Operations (2019 - 2026)
Xp (XP) posted Cash from Operations of -$229.84 million for Q2 2026, compared with $840.14 million a year earlier.
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Analysis
Xp (XP) Cash from Operations (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Xp was $9.33 billion, up 48.9% year-over-year; for FY2025, it came in at $2.16 billion, up 3.4% from FY2024.
- Annual Cash from Operations has increased for three consecutive years, with a five-year compound annual growth rate of 50.5% (FY2020 to FY2025).
- In prior years, Xp's Cash from Operations was $2.09 billion in FY2024 (+27.1%), $1.64 billion in FY2023 (+263.6%), $451.5 million in FY2022 and -$720.77 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Cash from Operations since Q1 2025.
- On a year-over-year basis, Cash from Operations increased in two of the last four quarters, with growth averaging 38.6%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q1 2022, with growth of 290.0%; the weakest was Q2 2024, with a decline of 76.8%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $890.99 million (Q1 2026), $6.41 billion (Q4 2025) and $2.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 720.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 2.46 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 947.10 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 2.00 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 711.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | -2.33 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 6.22 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -64.90 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | -503.20 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | -229.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -229.84 Mn |
| Mar 31, 2026 | 890.99 Mn |
| Dec 31, 2025 | 6.41 Bn |
| Sep 30, 2025 | 2.26 Bn |
| Jun 30, 2025 | 840.14 Mn |
| Mar 31, 2025 | -449.50 Mn |
| Dec 31, 2024 | 5.03 Bn |
| Sep 30, 2024 | 845.66 Mn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | -676.71 Mn |
| Dec 31, 2023 | 5.77 Bn |
| Sep 30, 2023 | -249.82 Mn |
| Jun 30, 2023 | 4.99 Bn |
| Mar 31, 2023 | 660.16 Mn |
| Dec 31, 2022 | 4.22 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 3.35 Bn |
| Mar 31, 2022 | 257.93 Mn |
| Dec 31, 2021 | 2.30 Bn |
| Sep 30, 2021 | -588.89 Mn |
API Access
Xp Cash from Operations 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=cash-from-operations&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();