TurnOnGreen (TOGI) Total Liabilities (2020 - 2026)
TurnOnGreen (TOGI) posted Total Liabilities of $38.63 million for Q2 2026, up 12.0% from $34.5 million a year earlier and up 0.1% from the prior quarter.
TurnOnGreen (TOGI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, TurnOnGreen's Total Liabilities came in at $36.07 million, up 7.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In prior years, TurnOnGreen's Total Liabilities was $33.48 million in FY2024 (-2.0%), $34.14 million in FY2023 (+13.7%), $30.04 million in FY2022 (+13.6%) and $26.44 million in FY2021 (+6.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 47.0%; the weakest was Q2 2022, with a decline of 6.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $38.58 million (Q1 2026), $36.07 million (Q4 2025) and $35.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | TurnOnGreen | 3.68 Mn | 3.36 Mn | 821,000.00 | 38.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.63 Mn |
| Mar 31, 2026 | 38.58 Mn |
| Dec 31, 2025 | 36.07 Mn |
| Sep 30, 2025 | 35.17 Mn |
| Jun 30, 2025 | 34.50 Mn |
| Mar 31, 2025 | 34.13 Mn |
| Dec 31, 2024 | 33.48 Mn |
| Sep 30, 2024 | 32.71 Mn |
| Jun 30, 2024 | 35.91 Mn |
| Mar 31, 2024 | 34.89 Mn |
| Dec 31, 2023 | 34.14 Mn |
| Sep 30, 2023 | 33.32 Mn |
| Jun 30, 2023 | 31.90 Mn |
| Mar 31, 2023 | 30.26 Mn |
| Dec 31, 2022 | 30.04 Mn |
| Sep 30, 2022 | 28.76 Mn |
| Jun 30, 2022 | 21.70 Mn |
| Mar 31, 2022 | 21.95 Mn |
| Dec 31, 2021 | 26.44 Mn |
| Sep 30, 2021 | 22.61 Mn |
TurnOnGreen Total Liabilities 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=total-liabilities&ticker=TOGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TOGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();