VerifyMe (VRME) Property, Plant & Equipment (Net) (2009 - 2026)
VerifyMe (VRME) posted Property, Plant & Equipment (Net) of $16,000 for Q1 2026, down 81.8% from $88,000 a year earlier and down 20.0% from the prior quarter.
VerifyMe (VRME) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, VerifyMe's Property, Plant & Equipment (Net) came in at $20,000, down 82.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three consecutive years, with a three-year compound annual growth rate of -59.1% (FY2022 to FY2025).
- In prior years, VerifyMe's Property, Plant & Equipment (Net) was $116,000 in FY2024 (-51.7%), $240,000 in FY2023 (-17.8%) and $292,000 in FY2022.
- The Q1 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2015.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 12 quarters, with an average decline of 58.1% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2022, with growth of 680.0%; the weakest was Q4 2025, with a decline of 82.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $20,000 (Q4 2025), $68,000 (Q3 2025) and $80,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 60.20 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 36.95 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 41.33 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 36.63 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 37.89 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 41.54 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 47.96 Bn |
| 10 | VerifyMe | 11.82 Mn | 11.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 16,000.00 |
| Dec 31, 2025 | 20,000.00 |
| Sep 30, 2025 | 68,000.00 |
| Jun 30, 2025 | 80,000.00 |
| Mar 31, 2025 | 88,000.00 |
| Dec 31, 2024 | 116,000.00 |
| Sep 30, 2024 | 159,000.00 |
| Jun 30, 2024 | 184,000.00 |
| Mar 31, 2024 | 212,000.00 |
| Dec 31, 2023 | 240,000.00 |
| Sep 30, 2023 | 265,000.00 |
| Jun 30, 2023 | 288,000.00 |
| Mar 31, 2023 | 292,000.00 |
| Dec 31, 2022 | 292,000.00 |
| Sep 30, 2022 | 321,000.00 |
| Jun 30, 2022 | 351,000.00 |
| Dec 31, 2021 | 204,000.00 |
| Sep 30, 2021 | 45,000.00 |
| Jun 30, 2021 | 45,000.00 |
| Mar 31, 2021 | 45,000.00 |
VerifyMe Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();