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 | Cme | 109.59 Bn | 97.93 Bn | - | 65.70% |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 113.77% |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 38.84% |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 58.57% |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 85.91% |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 39.32% |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 144.98% |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 160.10% |
| 10 | Xp | 7.99 Bn | -13.84 Bn | 662.48 Mn | 83.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.79% |
| Mar 31, 2026 | 32.50% |
| Dec 31, 2025 | -34,136,754,963.50% |
| Sep 30, 2025 | 32.06% |
| Jun 30, 2025 | 84.57% |
| Mar 31, 2025 | -87.79% |
| Dec 31, 2024 | 31.59% |
| Sep 30, 2024 | 70.86% |
| Jun 30, 2024 | -38.17% |
| Mar 31, 2024 | 79.15% |
| Dec 31, 2023 | -167,964,168.00% |
| Sep 30, 2023 | 69.15% |
| Jun 30, 2023 | -59.71% |
| Mar 31, 2023 | 71.32% |
| Dec 31, 2022 | 6.64% |
| Sep 30, 2022 | 71.17% |
| Jun 30, 2022 | 64.46% |
| Mar 31, 2022 | 77.47% |
| Dec 31, 2021 | 32.78% |
| Sep 30, 2021 | 59.98% |
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();