TurnOnGreen (TOGI) Operating Expenses (2020 - 2026)
TurnOnGreen's Operating Expenses was $975,000 in Q2 2026, down 17.7% from $1.19 million a year earlier and down 32.0% from the prior quarter.
TurnOnGreen (TOGI) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, TurnOnGreen's Operating Expenses was $4.74 million through Jun 30, 2026, down 13.7% year-over-year; for FY2025, it came in at $4.65 million, down 17.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 230.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $5.67 million in FY2024 (+1.7%), $5.57 million in FY2023 (-10.7%), $6.23 million in FY2022 (+77.5%) and $3.51 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2021.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 89.9%); the worst was Q4 2023 (a decline of 37.3%).
- Per Business Quant data, TOGI's Operating Expenses in the three quarters before Q2 2026 was $1.43 million (Q1 2026), $1.26 million (Q4 2025) and $1.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | TurnOnGreen | 3.68 Mn | 3.36 Mn | 821,000.00 | 975,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 975,000.00 |
| Mar 31, 2026 | 1.43 Mn |
| Dec 31, 2025 | 1.26 Mn |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.14 Mn |
| Dec 31, 2024 | 1.93 Mn |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 1.28 Mn |
| Mar 31, 2024 | 1.22 Mn |
| Dec 31, 2023 | 1.30 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 2.06 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.39 Mn |
| Mar 31, 2022 | 1.40 Mn |
| Dec 31, 2021 | 1.09 Mn |
| Sep 30, 2021 | 784,000.00 |
TurnOnGreen 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=TOGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TOGI", "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=TOGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();