VerifyMe (VRME) Operating Expenses (2011 - 2026)
VerifyMe's Operating Expenses came in at $1.73 million for Q1 2026, down 17.1% from $2.08 million a year earlier and down 8.6% from the prior quarter.
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Analysis
VerifyMe (VRME) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, VerifyMe reported Operating Expenses of $11.04 million, down 9.8% year-over-year; for FY2025, it was $11.39 million, down 12.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $13.05 million in FY2024 (+15.0%), $11.35 million in FY2023 (+10.9%), $10.24 million in FY2022 (+88.5%) and $5.43 million in FY2021 (+41.1%).
- The Q1 2026 figure represents the lowest quarterly Operating Expenses since Q4 2021.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 3.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 125.2%), and the weakest in Q4 2025 (a decline of 31.4%).
- Business Quant data shows VRME's Operating Expenses at $1.89 million (Q4 2025), $5.51 million (Q3 2025) and $1.91 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | VerifyMe | 1.30 Mn | 1.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.73 Mn |
| Dec 31, 2025 | 1.89 Mn |
| Sep 30, 2025 | 5.51 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 2.08 Mn |
| Dec 31, 2024 | 2.75 Mn |
| Sep 30, 2024 | 4.77 Mn |
| Jun 30, 2024 | 2.63 Mn |
| Mar 31, 2024 | 2.91 Mn |
| Dec 31, 2023 | 2.80 Mn |
| Sep 30, 2023 | 2.90 Mn |
| Jun 30, 2023 | 2.62 Mn |
| Mar 31, 2023 | 3.03 Mn |
| Dec 31, 2022 | 2.73 Mn |
| Sep 30, 2022 | 2.73 Mn |
| Jun 30, 2022 | 3.01 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 1.33 Mn |
| Sep 30, 2021 | 1.21 Mn |
| Jun 30, 2021 | 1.53 Mn |
API Access
VerifyMe 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=VRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();