Xp (XP) Return on Sales [ROS] (2018 - 2026)
Xp (XP) recorded Return on Sales [ROS] of 113.62% in Q2 2026, down 0.48 percentage points from 114.10% a year earlier but up 3.32 percentage points from the prior quarter.
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Analysis
Xp (XP) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, Xp's Return on Sales [ROS] came in at 111.92% as of Jun 30, 2026, down 136.05 percentage points year-over-year; for FY2025, it was 100.00%, down 126.12 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +64.90 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 226.12% in FY2024 (+4.15 pp), 221.97% in FY2023 (+121.97 pp), 100.00% in FY2022 (+56.80 pp) and 43.20% in FY2021 (+8.10 pp).
- Quarterly Return on Sales [ROS] has ranged from -368.43% in Q4 2022 to 92694792.88% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -11586828.79 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 92695161.31 percentage points in Q4 2023, against a drop of 92694262.00 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 110.30% (Q1 2026), 109.95% (Q4 2025) and 114.07% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | 113.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.62% |
| Mar 31, 2026 | 110.30% |
| Dec 31, 2025 | 109.95% |
| Sep 30, 2025 | 114.07% |
| Jun 30, 2025 | 114.10% |
| Mar 31, 2025 | 87.79% |
| Dec 31, 2024 | 530.87% |
| Sep 30, 2024 | 232.16% |
| Jun 30, 2024 | 111.27% |
| Mar 31, 2024 | 89.40% |
| Dec 31, 2023 | 92,694,792.88% |
| Sep 30, 2023 | 84.74% |
| Jun 30, 2023 | 112.39% |
| Mar 31, 2023 | 81.28% |
| Dec 31, 2022 | -368.43% |
| Sep 30, 2022 | 96.44% |
| Jun 30, 2022 | 95.17% |
| Mar 31, 2022 | 275.90% |
| Dec 31, 2021 | -155.59% |
| Sep 30, 2021 | 79.75% |
API Access
Xp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();