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 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 177.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 3.91 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 351.20 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 2.88 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 767.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 447.60 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 136.70 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | 93.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.00 Mn |
| Mar 31, 2026 | 88.92 Mn |
| Dec 31, 2025 | 85.98 Mn |
| Sep 30, 2025 | 77.27 Mn |
| Jun 30, 2025 | 60.76 Mn |
| Mar 31, 2025 | 54.44 Mn |
| Dec 31, 2024 | 77.42 Mn |
| Sep 30, 2024 | 78.45 Mn |
| Jun 30, 2024 | 80.01 Mn |
| Mar 31, 2024 | 79.88 Mn |
| Dec 31, 2023 | 75.42 Mn |
| Sep 30, 2023 | 71.31 Mn |
| Jun 30, 2023 | 60.78 Mn |
| Mar 31, 2023 | 58.54 Mn |
| Dec 31, 2022 | 59.10 Mn |
| Sep 30, 2022 | 58.79 Mn |
| Jun 30, 2022 | 62.04 Mn |
| Mar 31, 2022 | 57.02 Mn |
| Dec 31, 2021 | 56.29 Mn |
| Sep 30, 2021 | 56.17 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();