XTI Aerospace (XTIA) Property, Plant & Equipment (Net) (2013 - 2026)
XTI Aerospace's Property, Plant & Equipment (Net) was $407,000 in Q3 2026, up 68.2% from $242,000 a year earlier and up 1.5% from the prior quarter.
XTI Aerospace (XTIA) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at XTI Aerospace came in at $385,000, up 434.7% from FY2024.
- 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%).
- Quarterly Property, Plant & Equipment (Net) has moved between $12,000 (Q4 2023) and $1.44 million (Q4 2021) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for six straight quarters, with growth averaging 144.0% 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 Q3 2026 was $401,000 (Q2 2026), $417,000 (Q1 2026) and $385,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn | 2.49 Bn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn | 19.52 Bn |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn | 1.19 Bn |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn | 1.93 Bn |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn | 13.95 Bn |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn | 2.67 Bn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn | 488.50 Mn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn | 1.24 Bn |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn | 148.71 Mn |
| 10 | XTI Aerospace | 39.63 Mn | 6.02 Mn | 7.68 Mn | 407,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 407,000.00 |
| Jun 30, 2026 | 401,000.00 |
| Mar 31, 2026 | 417,000.00 |
| 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 |
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();