XTI Aerospace (XTIA) Selling, General & Administrative (2014 - 2025)
XTI Aerospace (XTIA) reported Selling, General & Administrative of $10.41 million for Q4 2025, up 221.5% from $3.24 million a year earlier but down 6.3% from the prior quarter.
XTI Aerospace (XTIA) Selling, General & Administrative (2014 - 2025) Analysis & Trends
For FY2025, XTI Aerospace posted Selling, General & Administrative of $32.85 million, up 67.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $19.66 million in FY2024 (+443.8%), $3.62 million in FY2023 (-74.3%), $14.05 million in FY2022 (-66.1%) and $41.48 million in FY2021 (+171.8%).
- Five-year quarterly Selling, General & Administrative spans a low of -$854,000 in Q4 2023 and a high of $14.91 million in Q4 2021.
- Year over year, Selling, General & Administrative gained in six of the last seven quarters, with growth averaging 218.2%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2025 (growth of 384.3%); the low point was Q1 2023 (a decline of 92.2%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $11.11 million (Q3 2025), $3.95 million (Q2 2025) and $7.38 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 443.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 789.40 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 415.20 Mn |
| 10 | XTI Aerospace | 13.40 Mn | -53.55 Mn | 3.03 Mn | 10.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.41 Mn |
| Sep 30, 2025 | 11.11 Mn |
| Jun 30, 2025 | 3.95 Mn |
| Mar 31, 2025 | 7.38 Mn |
| Dec 31, 2024 | 3.24 Mn |
| Sep 30, 2024 | 2.29 Mn |
| Jun 30, 2024 | 12.41 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | -854,000.00 |
| Sep 30, 2023 | 988,000.00 |
| Jun 30, 2023 | 2.91 Mn |
| Mar 31, 2023 | 570,000.00 |
| Dec 31, 2022 | 1.35 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | 5.29 Mn |
| Mar 31, 2022 | 7.33 Mn |
| Dec 31, 2021 | 14.91 Mn |
| Sep 30, 2021 | 8.57 Mn |
| Jun 30, 2021 | 8.83 Mn |
| Mar 31, 2021 | 9.17 Mn |
XTI Aerospace Selling, General & Administrative 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=selling-general-and-administrative&ticker=XTIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();