QS Energy (QSEP) Accumulated Expenses (2009 - 2026)
QS Energy's Accumulated Expenses was $1.59 million in Q4 2021.
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Analysis
QS Energy (QSEP) Accumulated Expenses (2009 - 2026) Analysis & Trends
From Q4 2010 onward, QS Energy has reported Accumulated Expenses for 19 quarters.
- Accumulated Expenses shows a four-year compound annual growth rate of 167.6% (FY2017 to FY2021).
- In earlier years, Accumulated Expenses was $55,000 in FY2018 (+77.4%) and $31,000 in FY2017.
- The Q4 2021 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | QS Energy | 28.23 Mn | 28.02 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 592,000.00 |
| Mar 31, 2026 | 578,000.00 |
| Dec 31, 2025 | 545,000.00 |
| Sep 30, 2025 | 517,000.00 |
| Jun 30, 2025 | 560,000.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 160,000.00 |
| Dec 31, 2023 | 793,000.00 |
| Sep 30, 2023 | 137,000.00 |
| Dec 31, 2022 | 612,000.00 |
| Sep 30, 2022 | 549,000.00 |
| Dec 31, 2021 | 1.59 Mn |
| Dec 31, 2020 | 313,000.00 |
| Dec 31, 2019 | 184,000.00 |
| Dec 31, 2018 | 55,000.00 |
| Sep 30, 2018 | 49,000.00 |
| Dec 31, 2017 | 31,000.00 |
| Sep 30, 2017 | 61,000.00 |
| Dec 31, 2016 | 23,000.00 |
| Sep 30, 2016 | 17,836.00 |
API Access
QS Energy Accumulated 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=accumulated-expenses&ticker=QSEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=QSEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();