VerifyMe (VRME) Other Operating Expenses (2011 - 2026)
VerifyMe (VRME) recorded Other Operating Expenses of $711,000 in Q1 2026, down 41.8% from $1.22 million a year earlier but up 0.1% from the prior quarter.
VerifyMe (VRME) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, VerifyMe's Other Operating Expenses came in at $1.43 million as of Mar 31, 2026, down 83.4% year-over-year; for FY2025, it came in at $7.96 million, down 12.9% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 81.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $9.13 million in FY2024 (+33.7%), $6.83 million in FY2023 (+297.6%), $1.72 million in FY2022 (+374.6%) and $362,000 in FY2021 (-10.2%).
- Quarterly Other Operating Expenses has ranged from -$1,000 in Q2 2025 to $3.98 million in Q3 2024 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for three consecutive quarters, with an average decline of 14.4% over the last seven quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 545.9% in Q3 2022, against a decline of 99.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $710,000 (Q4 2025), $9,000 (Q3 2025) and -$1,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | VerifyMe | 11.82 Mn | 11.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 711,000.00 |
| Dec 31, 2025 | 710,000.00 |
| Sep 30, 2025 | 9,000.00 |
| Jun 30, 2025 | -1,000.00 |
| Mar 31, 2025 | 1.22 Mn |
| Dec 31, 2024 | 1.68 Mn |
| Sep 30, 2024 | 3.98 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Jun 30, 2023 | 1.78 Mn |
| Mar 31, 2023 | 1.60 Mn |
| Dec 31, 2022 | 494,000.00 |
| Sep 30, 2022 | 478,000.00 |
| Jun 30, 2022 | 447,000.00 |
| Mar 31, 2022 | 299,000.00 |
| Dec 31, 2021 | 320,000.00 |
| Sep 30, 2021 | 74,000.00 |
| Jun 30, 2021 | 88,000.00 |
VerifyMe Other 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=other-operating-expenses&ticker=VRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();