VerifyMe (VRME) Operating Margin (2011 - 2026)
VerifyMe's Operating Margin was -43.28% in Q1 2026, down 29.97 percentage points from -13.31% a year earlier and down 13.03 percentage points from the prior quarter.
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Analysis
VerifyMe (VRME) Operating Margin (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, VerifyMe's Operating Margin was -38.24% through Mar 31, 2026, down 19.30 percentage points year-over-year; for FY2025, it was -30.92%, down 12.78 percentage points from FY2024.
- Operating Margin shows a five-year change of +1009.31 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -18.14% in FY2024 (-4.99 pp), -13.15% in FY2023 (+5.99 pp), -19.14% in FY2022 (+538.07 pp) and -557.21% in FY2021 (+483.02 pp).
- Quarterly Operating Margin has moved between -1151.61% (Q2 2021) and 1.03% (Q4 2022) over five years.
- Compared with a year earlier, Operating Margin has declined for three straight quarters, with an average year-over-year change of -12.96 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q2 2022 (a gain of 1122.22 percentage points); the worst was Q1 2022 (a drop of 378.57 percentage points).
- Per Business Quant data, VRME's Operating Margin in the three quarters before Q1 2026 was -30.25% (Q4 2025), -68.19% (Q3 2025) and -7.12% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 40.25% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 4.07% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 32.44% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.12% |
| 10 | VerifyMe | 1.30 Mn | 1.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -43.28% |
| Dec 31, 2025 | -30.25% |
| Sep 30, 2025 | -68.19% |
| Jun 30, 2025 | -7.12% |
| Mar 31, 2025 | -13.31% |
| Dec 31, 2024 | -4.40% |
| Sep 30, 2024 | -52.81% |
| Jun 30, 2024 | -10.01% |
| Mar 31, 2024 | -11.23% |
| Dec 31, 2023 | 0.79% |
| Sep 30, 2023 | -15.26% |
| Jun 30, 2023 | -19.46% |
| Mar 31, 2023 | -26.57% |
| Dec 31, 2022 | 1.03% |
| Sep 30, 2022 | -16.78% |
| Jun 30, 2022 | -29.40% |
| Mar 31, 2022 | -1,024.84% |
| Dec 31, 2021 | -455.69% |
| Sep 30, 2021 | -342.00% |
| Jun 30, 2021 | -1,151.61% |
API Access
VerifyMe Operating 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=operating-margin&ticker=VRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "VRME", "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-margin&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();