SOBR Safe (SOBR) Total Liabilities (2011 - 2026)
SOBR Safe's Total Liabilities was $926,276 in Q2 2026, down 67.1% from $2.82 million a year earlier and down 19.2% from the prior quarter.
Analysis
SOBR Safe (SOBR) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at SOBR Safe came in at $1.64 million, up 20.0% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.37 million in FY2024 (-67.1%), $4.16 million in FY2023 (+47.6%), $2.82 million in FY2022 (-39.9%) and $4.69 million in FY2021 (+395.5%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2011.
- Compared with a year earlier, Total Liabilities was higher in three of the last eight quarters, with an average decline of 19.8%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 640.9%); the worst was Q1 2025 (a decline of 68.5%).
- Per Business Quant data, SOBR's Total Liabilities in the three quarters before Q2 2026 was $1.15 million (Q1 2026), $1.64 million (Q4 2025) and $1.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | SOBR Safe | 77,942.79 | -11.98 Mn | -117,324.00 | 926,276.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 926,276.00 |
| Mar 31, 2026 | 1.15 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 2.82 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.43 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 4.16 Mn |
| Sep 30, 2023 | 3.51 Mn |
| Jun 30, 2023 | 3.59 Mn |
| Mar 31, 2023 | 3.94 Mn |
| Dec 31, 2022 | 2.82 Mn |
| Sep 30, 2022 | 2.70 Mn |
| Jun 30, 2022 | 2.52 Mn |
| Mar 31, 2022 | 7.63 Mn |
| Dec 31, 2021 | 4.69 Mn |
| Sep 30, 2021 | 3.46 Mn |
API Access
SOBR Safe 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=SOBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SOBR", "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=SOBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();