Quality Industrial (QIND) Operating Expenses (2020 - 2025)
Quality Industrial's Operating Expenses was $1.5 million in Q3 2025, up 50.5% from $995,583 a year earlier.
Quality Industrial (QIND) Operating Expenses (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, Quality Industrial's Operating Expenses was $4.82 million through Sep 30, 2025, up 289.3% year-over-year; for FY2024, it was $3.28 million, up 18.6% from FY2023.
- Operating Expenses shows a five-year compound annual growth rate of 103.4% (FY2019 to FY2024).
- In earlier years, Operating Expenses was $2.77 million in FY2023 (+556.2%), $421,546 in FY2022 (-91.9%), $5.18 million in FY2021 (+165.8%) and $1.95 million in FY2020.
- Quarterly Operating Expenses has moved between -$665,196 (Q4 2023) and $4.62 million (Q3 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in two of the last five quarters, with an average decline of 13.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2021 (growth of 758.6%); the worst was Q2 2025 (a decline of 95.8%).
- Per Business Quant data, QIND's Operating Expenses in the three quarters before Q3 2025 was $34,516 (Q2 2025), $1.9 million (Q1 2025) and $1.38 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Valero Energy | 112.13 Bn | 92.34 Bn | 5.47 Bn | 266.00 Mn |
| 2 | Marathon Petroleum | 109.39 Bn | 99.79 Bn | 9.27 Bn | 45.02 Bn |
| 3 | HF Sinclair | 18.88 Bn | 13.11 Bn | 1.57 Bn | 9.22 Bn |
| 4 | Sunoco | 10.20 Bn | 4.58 Bn | 1.46 Bn | 13.68 Bn |
| 5 | PBF Energy | 8.88 Bn | 6.58 Bn | 1.15 Bn | 10.41 Bn |
| 6 | Ultrapar Holdings | 7.63 Bn | 1.41 Bn | 912.61 Mn | -124.47 Mn |
| 7 | Cvr Energy | 5.10 Bn | 2.89 Bn | 117.00 Mn | 52.00 Mn |
| 8 | Icahn Enterprises | 4.88 Bn | -880.12 Mn | - | 3.36 Bn |
| 9 | Delek US Holdings | 4.13 Bn | 1.86 Bn | 365.10 Mn | 3.78 Bn |
| 10 | Quality Industrial | 1.79 Mn | 2.15 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 34,516.00 |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 995,583.00 |
| Jun 30, 2024 | 825,430.00 |
| Mar 31, 2024 | 81,249.00 |
| Dec 31, 2023 | -665,196.00 |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 835,314.00 |
| Mar 31, 2023 | 65,013.00 |
| Dec 31, 2022 | 4.12 Mn |
| Sep 30, 2022 | 3.79 Mn |
| Jun 30, 2022 | 3.37 Mn |
| Mar 31, 2022 | 184,428.00 |
| Dec 31, 2021 | 146,168.00 |
| Sep 30, 2021 | 4.62 Mn |
| Jun 30, 2021 | 221,050.00 |
| Mar 31, 2021 | 188,695.00 |
| Dec 31, 2020 | 231,769.00 |
Quality Industrial 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=QIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QIND", "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=QIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();