XTI Aerospace (XTIA) Total Liabilities (2013 - 2026)
XTI Aerospace (XTIA) posted Total Liabilities of $52.89 million for Q3 2026, up 41.1% from $37.48 million a year earlier but down 39.8% from the prior quarter.
XTI Aerospace (XTIA) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, XTI Aerospace's Total Liabilities came in at $53.5 million, up 202.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In prior years, XTI Aerospace's Total Liabilities was $17.72 million in FY2024 (-44.9%), $32.14 million in FY2023 (-55.7%), $72.62 million in FY2022 (-0.8%) and $73.18 million in FY2021 (+410.7%).
- Quarterly Total Liabilities has run from a low of $13.2 million in Q1 2025 to a high of $94.67 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 142.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 617.3%; the weakest was Q1 2024, with a decline of 63.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $87.85 million (Q2 2026), $94.67 million (Q1 2026) and $53.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn | 5.39 Bn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn | 23.09 Bn |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn | 3.88 Bn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn | 13.34 Bn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn | 18.79 Bn |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn | 1.70 Bn |
| 10 | XTI Aerospace | 39.63 Mn | 6.02 Mn | 7.68 Mn | 52.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.89 Mn |
| Jun 30, 2026 | 98.43 Mn |
| Mar 31, 2026 | 94.67 Mn |
| Dec 31, 2025 | 53.50 Mn |
| Sep 30, 2025 | 37.48 Mn |
| Jun 30, 2025 | 23.04 Mn |
| Mar 31, 2025 | 13.20 Mn |
| Dec 31, 2024 | 17.72 Mn |
| Sep 30, 2024 | 22.42 Mn |
| Jun 30, 2024 | 23.47 Mn |
| Mar 31, 2024 | 17.12 Mn |
| Dec 31, 2023 | 32.14 Mn |
| Sep 30, 2023 | 41.99 Mn |
| Jun 30, 2023 | 42.29 Mn |
| Mar 31, 2023 | 46.27 Mn |
| Dec 31, 2022 | 72.62 Mn |
| Sep 30, 2022 | 74.81 Mn |
| Jun 30, 2022 | 63.86 Mn |
| Mar 31, 2022 | 59.82 Mn |
| Dec 31, 2021 | 73.18 Mn |
XTI Aerospace Total 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-liabilities&ticker=XTIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();