XTI Aerospace (XTIA) Property, Plant & Equipment (Net) (2013 - 2025)
XTI Aerospace's Property, Plant & Equipment (Net) was $385,000 in Q4 2025, up 434.7% from $72,000 a year earlier and up 59.1% from the prior quarter.
XTI Aerospace (XTIA) Property, Plant & Equipment (Net) (2013 - 2025) Analysis & Trends
From Q4 2013 onward, XTI Aerospace has reported Property, Plant & Equipment (Net) for 49 quarters.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $72,000 in FY2024 (+500.0%), $12,000 in FY2023 (-96.5%), $342,000 in FY2022 (-76.3%) and $1.44 million in FY2021 (-0.2%).
- The Q4 2025 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 88.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2024 (growth of 500.0%); the worst was Q4 2023 (a decline of 96.5%).
- Per Business Quant data, XTIA's Property, Plant & Equipment (Net) in the three quarters before Q4 2025 was $242,000 (Q3 2025), $255,000 (Q2 2025) and $224,000 (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | 18.48 Bn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | 2.40 Bn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | 1.16 Bn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | 1.93 Bn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 13.95 Bn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | 2.65 Bn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | 484.10 Mn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | 131.65 Mn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | 146.89 Mn |
| 10 | XTI Aerospace | 12.58 Mn | -54.37 Mn | 3.03 Mn | 385,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 385,000.00 |
| Sep 30, 2025 | 242,000.00 |
| Jun 30, 2025 | 255,000.00 |
| Mar 31, 2025 | 224,000.00 |
| Dec 31, 2024 | 72,000.00 |
| Sep 30, 2024 | 235,000.00 |
| Jun 30, 2024 | 225,000.00 |
| Mar 31, 2024 | 250,000.00 |
| Dec 31, 2023 | 12,000.00 |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | 1.01 Mn |
| Mar 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 342,000.00 |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 1.35 Mn |
| Mar 31, 2022 | 1.41 Mn |
| Dec 31, 2021 | 1.44 Mn |
| Sep 30, 2021 | 1.48 Mn |
| Jun 30, 2021 | 1.50 Mn |
| Mar 31, 2021 | 1.44 Mn |
XTI Aerospace 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=XTIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "XTIA", "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=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();