Altex Industries (ALTX) Selling, General & Administrative (2010 - 2026)
Altex Industries' Selling, General & Administrative came in at $54,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 17.4% from $46,000 a year earlier but down 25.0% from the prior quarter.
Altex Industries (ALTX) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Altex Industries reported Selling, General & Administrative of $249,000, down 21.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $320,000, up 37.3% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $233,000 in FY2024 (-11.4%), $263,000 in FY2023 (+46.9%), $179,000 in FY2022 (+3.5%) and $173,000 in FY2021 (+1.8%).
- The five-year range for quarterly Selling, General & Administrative is $32,000 (fiscal Q1 2022) to $179,000 (fiscal Q4 2022).
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 22.6%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q1 2023 (growth of 253.1%), and the weakest in fiscal Q4 2023 (a decline of 72.6%).
- Business Quant data shows ALTX's Selling, General & Administrative at $72,000 (Q2 2026), $60,000 (Q1 2026) and $63,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 753.32 Bn | 716.53 Bn | - | 2.48 Bn |
| 2 | Chevron | 460.83 Bn | 438.62 Bn | 33.45 Bn | 1.31 Bn |
| 3 | Shell | 307.74 Bn | 238.48 Bn | 30.13 Bn | 2.91 Bn |
| 4 | TotalEnergies SE | 204.79 Bn | 87.92 Bn | 61.77 Bn | - |
| 5 | Conocophillips | 181.17 Bn | 153.88 Bn | 12.81 Bn | 188.00 Mn |
| 6 | Equinor Asa | 122.04 Bn | 36.56 Bn | - | - |
| 7 | Canadian Natural Resources | 114.63 Bn | 111.64 Bn | 8.84 Bn | 114.95 Mn |
| 8 | Phillips 66 | 112.97 Bn | 101.96 Bn | 8.38 Bn | 538.00 Mn |
| 9 | Eni Spa | 97.68 Bn | 47.86 Bn | - | - |
| 10 | Altex Industries | 2.57 Mn | -7.44 Mn | - | 54,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54,000.00 |
| Mar 31, 2026 | 72,000.00 |
| Dec 31, 2025 | 60,000.00 |
| Sep 30, 2025 | 63,000.00 |
| Jun 30, 2025 | 46,000.00 |
| Mar 31, 2025 | 61,000.00 |
| Dec 31, 2024 | 150,000.00 |
| Sep 30, 2024 | 62,000.00 |
| Jun 30, 2024 | 56,000.00 |
| Mar 31, 2024 | 64,000.00 |
| Dec 31, 2023 | 50,000.00 |
| Sep 30, 2023 | 49,000.00 |
| Jun 30, 2023 | 49,000.00 |
| Mar 31, 2023 | 52,000.00 |
| Dec 31, 2022 | 113,000.00 |
| Sep 30, 2022 | 179,000.00 |
| Jun 30, 2022 | 38,000.00 |
| Mar 31, 2022 | 53,000.00 |
| Dec 31, 2021 | 32,000.00 |
| Sep 30, 2021 | 173,000.00 |
Altex Industries 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=ALTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ALTX", "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=ALTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();