XTI Aerospace (XTIA) Operating Expenses (2013 - 2026)
XTI Aerospace (XTIA) recorded Operating Expenses of $9.51 million in Q4 2025, up 618.0% from $1.32 million a year earlier but down 40.2% from the prior quarter.
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Analysis
XTI Aerospace (XTIA) Operating Expenses (2013 - 2026) Analysis & Trends
For FY2025, XTI Aerospace reported Operating Expenses of $47.74 million, up 60.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $29.67 million in FY2024 (+290.9%), $7.59 million in FY2023 (-67.3%), $23.23 million in FY2022 (-72.5%) and $84.36 million in FY2021 (+176.8%).
- Quarterly Operating Expenses has ranged from -$2.57 million in Q4 2022 to $38.3 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last seven quarters, with growth averaging 259.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 618.0% in Q4 2025, against a decline of 88.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.89 million (Q3 2025), $11.61 million (Q2 2025) and $10.74 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 69.03 Bn | 67.79 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 63.57 Bn | 61.16 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 60.04 Bn | 59.04 Bn | 1.10 Bn | 573.90 Mn |
| 4 | Ferguson Enterprises | 44.45 Bn | 41.66 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 32.17 Bn | 32.05 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 15.93 Bn | 13.25 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Watsco | 12.26 Bn | 9.94 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Applied Industrial Technologies | 11.95 Bn | 11.82 Bn | 411.22 Mn | 251.91 Mn |
| 10 | XTI Aerospace | 28.94 Mn | -47.21 Mn | 5.64 Mn | 14.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.73 Mn |
| Dec 31, 2025 | 9.51 Mn |
| Sep 30, 2025 | 15.89 Mn |
| Jun 30, 2025 | 11.61 Mn |
| Mar 31, 2025 | 10.74 Mn |
| Dec 31, 2024 | 1.32 Mn |
| Sep 30, 2024 | 4.74 Mn |
| Jun 30, 2024 | 14.59 Mn |
| Mar 31, 2024 | 9.02 Mn |
| Dec 31, 2023 | -113,000.00 |
| Sep 30, 2023 | 2.38 Mn |
| Jun 30, 2023 | 4.04 Mn |
| Mar 31, 2023 | 1.28 Mn |
| Dec 31, 2022 | -2.57 Mn |
| Sep 30, 2022 | 7.14 Mn |
| Jun 30, 2022 | 11.09 Mn |
| Mar 31, 2022 | 11.09 Mn |
| Dec 31, 2021 | 38.30 Mn |
| Sep 30, 2021 | 15.72 Mn |
| Jun 30, 2021 | 15.85 Mn |
API Access
XTI Aerospace Operating Expenses 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=operating-expenses&ticker=XTIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();