SOBR Safe (SOBR) EBITDA Margin (2024 - 2026)
SOBR Safe's EBITDA Margin was -10298.05% in Q2 2026, down 8497.82 percentage points from -1800.23% a year earlier and down 7465.80 percentage points from the prior quarter.
SOBR Safe (SOBR) EBITDA Margin (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, SOBR Safe's EBITDA Margin was -2867.89% through Jun 30, 2026, down 511.01 percentage points year-over-year; for FY2025, it came in at -2004.66%, up 1241.10 percentage points from FY2024.
- In earlier years, EBITDA Margin was -3245.76% in FY2024.
- Per Business Quant data, SOBR's EBITDA Margin in the three quarters before Q2 2026 was -2832.25% (Q1 2026), -2042.74% (Q4 2025) and -1953.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 31.34% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.61% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 9.85% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 31.78% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 18.84% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 12.80% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 22.79% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 20.65% |
| 10 | SOBR Safe | 77,942.79 | -11.98 Mn | -117,324.00 | -10,298.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10,298.05% |
| Mar 31, 2026 | -2,832.25% |
| Dec 31, 2025 | -2,042.74% |
| Sep 30, 2025 | -1,953.16% |
| Jun 30, 2025 | -1,800.23% |
| Mar 31, 2025 | -2,032.37% |
| Dec 31, 2024 | -3,180.72% |
SOBR Safe EBITDA Margin 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=ebitda-margin&ticker=SOBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=SOBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();