QS Energy (QSEP) Operating Expenses (2009 - 2026)
QS Energy (QSEP) reported Operating Expenses of $9,000 for Q2 2026, down 91.3% from $104,000 a year earlier but up 350.0% from the prior quarter.
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Analysis
QS Energy (QSEP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, QS Energy's Operating Expenses came in at $1.47 million, up 495.5% year-over-year; for FY2025, it was $1.61 million, up 743.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $191,000 in FY2024 (-5.9%), $203,000 in FY2023 (-58.2%), $486,000 in FY2022 (+38.9%) and $350,000 in FY2021 (-80.8%).
- Five-year quarterly Operating Expenses spans a low of $2,000 in Q1 2026 and a high of $1.24 million in Q3 2025.
- Year over year, Operating Expenses gained in three of the last seven quarters, with growth averaging 38.4%.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 350.0%); the low point was Q1 2026 (a decline of 95.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2,000 (Q1 2026), $216,000 (Q4 2025) and $1.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 7.11 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 557.10 Mn |
| 10 | QS Energy | 28.23 Mn | 28.02 Mn | - | 2,125.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,125.00 Bn |
| Mar 31, 2026 | 735,000.00 |
| Dec 31, 2025 | -12,049.99 Bn |
| Sep 30, 2025 | 646.00 Bn |
| Jun 30, 2025 | 1,892.00 Bn |
| Mar 31, 2025 | 9.51 Mn |
| Dec 31, 2024 | -758.00 Bn |
| Sep 30, 2024 | 231.00 Bn |
| Jun 30, 2024 | 201,000.00 |
| Mar 31, 2024 | 326,000.00 |
| Dec 31, 2023 | 180,000.00 |
| Sep 30, 2023 | 164,000.00 |
| Jun 30, 2023 | 158,000.00 |
| Mar 31, 2023 | 186,000.00 |
| Dec 31, 2022 | 261,000.00 |
| Sep 30, 2022 | 214,000.00 |
| Jun 30, 2022 | 90,000.00 |
| Mar 31, 2022 | 200,000.00 |
| Dec 31, 2021 | 251,000.00 |
| Sep 30, 2021 | 230,000.00 |
API Access
QS Energy 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=QSEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QSEP", "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=QSEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();