Xp (XP) Property, Plant & Equipment (Net) (2017 - 2026)
Xp (XP) reported Property, Plant & Equipment (Net) of $93 million for Q2 2026, up 53.1% from $60.76 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Xp (XP) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Xp posted Property, Plant & Equipment (Net) of $83.04 million, down 1.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $83.97 million in FY2024 (+11.3%), $75.42 million in FY2023 (+27.6%), $59.1 million in FY2022 (+5.0%) and $56.29 million in FY2021 (+48.9%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2017.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last three quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q3 2021 (growth of 218.4%); the low point was Q1 2025 (a decline of 31.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $88.92 million (Q1 2026), $85.98 million (Q4 2025) and $77.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 338.70 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 4.12 Bn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 2.97 Bn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 187.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 767.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 145.70 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | - |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 444.70 Mn |
| 10 | Xp | 7.99 Bn | -13.84 Bn | 662.48 Mn | 90.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.90 Mn |
| Mar 31, 2026 | 88.91 Mn |
| Dec 31, 2025 | 84.65 Mn |
| Sep 30, 2025 | 79.11 Mn |
| Mar 31, 2025 | 55.43 Mn |
| Dec 31, 2024 | 72.83 Mn |
| Sep 30, 2024 | 80.06 Mn |
| Mar 31, 2024 | 78.78 Mn |
| Dec 31, 2023 | 76.98 Mn |
| Sep 30, 2023 | 69.15 Mn |
| Mar 31, 2023 | 59.77 Mn |
| Dec 31, 2022 | 58.83 Mn |
| Sep 30, 2022 | 57.08 Mn |
| Jun 30, 2022 | 58.68 Mn |
| Mar 31, 2022 | 62.48 Mn |
| Dec 31, 2021 | 56.36 Mn |
| Sep 30, 2021 | 54.12 Mn |
| Jun 30, 2021 | 49.04 Mn |
| Mar 31, 2021 | 38.64 Mn |
| Dec 31, 2020 | 39.31 Mn |
API Access
Xp Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();