Altex Industries (ALTX) Operating Expenses (2010 - 2026)
Altex Industries (ALTX) reported Operating Expenses of $56,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 16.7% from $48,000 a year earlier but down 22.2% from the prior quarter.
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Analysis
Altex Industries (ALTX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Altex Industries' Operating Expenses came in at $253,000, down 22.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $325,000, up 35.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $240,000 in FY2024 (-12.1%), $273,000 in FY2023 (+42.9%), $191,000 in FY2022 (+4.4%) and $183,000 in FY2021 (+2.2%).
- Five-year quarterly Operating Expenses spans a low of $35,000 in fiscal Q1 2022 and a high of $191,000 in fiscal Q4 2022.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 20.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2023 (growth of 231.4%); the low point was fiscal Q4 2023 (a decline of 72.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $72,000 (Q2 2026), $62,000 (Q1 2026) and $63,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 91.93 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | -177.00 Mn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 54.17 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 5.11 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 2.44 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 30.42 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 590.04 Mn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 44.40 Bn |
| 10 | Altex Industries | 1.90 Mn | -8.11 Mn | - | 56,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56,000.00 |
| Mar 31, 2026 | 72,000.00 |
| Dec 31, 2025 | 62,000.00 |
| Sep 30, 2025 | 63,000.00 |
| Jun 30, 2025 | 48,000.00 |
| Mar 31, 2025 | 63,000.00 |
| Dec 31, 2024 | 151,000.00 |
| Sep 30, 2024 | 64,000.00 |
| Jun 30, 2024 | 59,000.00 |
| Mar 31, 2024 | 65,000.00 |
| Dec 31, 2023 | 52,000.00 |
| Sep 30, 2023 | 52,000.00 |
| Jun 30, 2023 | 52,000.00 |
| Mar 31, 2023 | 53,000.00 |
| Dec 31, 2022 | 116,000.00 |
| Sep 30, 2022 | 191,000.00 |
| Jun 30, 2022 | 41,000.00 |
| Mar 31, 2022 | 55,000.00 |
| Dec 31, 2021 | 35,000.00 |
| Sep 30, 2021 | 183,000.00 |
API Access
Altex Industries 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=ALTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ALTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();