XTI Aerospace (XTIA) Total Non-Current Liabilities (2014 - 2025)
XTI Aerospace's Total Non-Current Liabilities was $30.94 million in Q4 2025, up 77.0% from $17.49 million a year earlier and up 234.5% from the prior quarter.
XTI Aerospace (XTIA) Total Non-Current Liabilities (2014 - 2025) Analysis & Trends
From Q2 2014 onward, XTI Aerospace has reported Total Non-Current Liabilities for 43 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $17.49 million in FY2024 (-45.0%), $31.81 million in FY2023 (-56.2%), $72.59 million in FY2022 (-0.8%) and $73.15 million in FY2021 (+410.7%).
- The Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities since Q4 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last five quarters, with an average decline of 27.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 410.7%); the worst was Q2 2025 (a decline of 63.9%).
- Per Business Quant data, XTIA's Total Non-Current Liabilities in the three quarters before Q4 2025 was $9.25 million (Q3 2025), $8.48 million (Q2 2025) and $8.76 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | - |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 1.21 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 11.17 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 13.44 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 3.67 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 12.26 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 874.71 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | - |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 5.58 Bn |
| 10 | XTI Aerospace | 13.40 Mn | -53.55 Mn | 3.03 Mn | 30.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 30.94 Mn |
| Sep 30, 2025 | 9.25 Mn |
| Jun 30, 2025 | 8.48 Mn |
| Mar 31, 2025 | 8.76 Mn |
| Dec 31, 2024 | 17.49 Mn |
| Sep 30, 2024 | 22.42 Mn |
| Jun 30, 2024 | 23.47 Mn |
| Mar 31, 2024 | 16.10 Mn |
| Dec 31, 2023 | 31.81 Mn |
| Dec 31, 2022 | 72.59 Mn |
| Sep 30, 2022 | 74.78 Mn |
| Jun 30, 2022 | 63.83 Mn |
| Mar 31, 2022 | 59.79 Mn |
| Dec 31, 2021 | 73.15 Mn |
| Sep 30, 2021 | 66.12 Mn |
| Jun 30, 2021 | 28.89 Mn |
| Mar 31, 2021 | 12.90 Mn |
| Dec 31, 2020 | 14.32 Mn |
| Sep 30, 2020 | 13.12 Mn |
| Jun 30, 2020 | 13.08 Mn |
XTI Aerospace Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=XTIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();