VerifyMe (VRME) Capital Expenditures (2013 - 2025)
VerifyMe (VRME) posted Capital Expenditures of $11,000 for Q4 2025.
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Analysis
VerifyMe (VRME) Capital Expenditures (2013 - 2025) Analysis & Trends
For FY2025, VerifyMe's Capital Expenditures came in at $18,000, up 157.1% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior years, VerifyMe's Capital Expenditures was $7,000 in FY2024 (-74.1%), $27,000 in FY2023 (-99.6%) and $7.5 million in FY2022.
- Quarterly Capital Expenditures has run from a low of $1,000 in Q3 2025 to a high of $45,000 in Q1 2021 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 873.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 439.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -551.77 Mn |
| 10 | VerifyMe | 10.72 Mn | 10.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11,000.00 |
| Sep 30, 2025 | 1,000.00 |
| Sep 30, 2024 | 2,000.00 |
| Jun 30, 2024 | 3,000.00 |
| Mar 31, 2024 | 2,000.00 |
| Dec 31, 2023 | 3,000.00 |
| Jun 30, 2023 | 11,000.00 |
| Mar 31, 2023 | 13,000.00 |
| Mar 31, 2021 | 45,000.00 |
| Dec 30, 2020 | -1,000.00 |
| Sep 30, 2020 | 1,000.00 |
| Mar 31, 2020 | 22,000.00 |
| Jun 30, 2013 | 3,244.00 |
| Mar 31, 2013 | 7,329.00 |
API Access
VerifyMe Capital Expenditures 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=capital-expenditures&ticker=VRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();