Spindletop Oil & Gas (SPND) Operating Expenses (2010 - 2026)
Spindletop Oil & Gas (SPND) recorded Operating Expenses of $1.22 million in Q2 2026, down 7.1% from $1.31 million a year earlier but up 1.3% from the prior quarter.
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Analysis
Spindletop Oil & Gas (SPND) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Spindletop Oil & Gas' Operating Expenses came in at $7.59 million as of Jun 30, 2026, up 29.9% year-over-year; for FY2025, it was $7.72 million, up 28.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $6.03 million in FY2024 (-1.0%), $6.09 million in FY2023 (-27.4%), $8.4 million in FY2022 (+48.2%) and $5.67 million in FY2021 (+4.7%).
- Quarterly Operating Expenses has ranged from -$2.47 million in Q4 2021 to $4.47 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 77.0% in Q4 2025, against a decline of 51.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.2 million (Q1 2026), $3.93 million (Q4 2025) and $1.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 541.34 Bn | 451.89 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 403.85 Bn | 381.64 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 193.34 Bn | 76.47 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 172.00 Bn | 121.52 Bn | - | - |
| 5 | Conocophillips | 150.68 Bn | 123.39 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 103.39 Bn | 49.45 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 100.64 Bn | 89.62 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 98.19 Bn | 95.14 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.57 Bn | 66.37 Bn | - | 17.00 Mn |
| 10 | Spindletop Oil & Gas | 30.75 Mn | 11.02 Mn | - | 1.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 3.93 Mn |
| Sep 30, 2025 | 1.25 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.24 Mn |
| Dec 31, 2024 | 2.22 Mn |
| Sep 30, 2024 | 1.08 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | 2.18 Mn |
| Sep 30, 2023 | 1.27 Mn |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 4.47 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 1.33 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | -2.47 Mn |
| Sep 30, 2021 | 992,000.00 |
API Access
Spindletop Oil & Gas 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=SPND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SPND", "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=SPND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();