VerifyMe (VRME) Total Current Liabilities (2009 - 2026)
VerifyMe (VRME) posted Total Current Liabilities of $1.74 million for Q1 2026, up 5.5% from $1.65 million a year earlier but down 14.1% from the prior quarter.
VerifyMe (VRME) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, VerifyMe's Total Current Liabilities came in at $2.03 million, down 52.2% from FY2024.
- Annual Total Current Liabilities has declined for three consecutive years, with a three-year compound annual growth rate of -28.0% (FY2022 to FY2025).
- In prior years, VerifyMe's Total Current Liabilities was $4.24 million in FY2024 (-17.5%), $5.14 million in FY2023 (-5.3%) and $5.43 million in FY2022.
- Quarterly Total Current Liabilities has run from a low of $423,000 in Q2 2021 to a high of $5.43 million in Q4 2022 over five years.
- On a year-over-year basis, Total Current Liabilities increased in 1 of the last eight quarters, with an average decline of 25.9%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 525.5%; the weakest was Q4 2025, with a decline of 52.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $2.03 million (Q4 2025), $2.13 million (Q3 2025) and $1.94 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 5.61 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.37 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 9.13 Bn |
| 10 | VerifyMe | 1.30 Mn | 1.30 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.74 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.13 Mn |
| Jun 30, 2025 | 1.94 Mn |
| Mar 31, 2025 | 1.65 Mn |
| Dec 31, 2024 | 4.24 Mn |
| Sep 30, 2024 | 2.77 Mn |
| Jun 30, 2024 | 2.93 Mn |
| Mar 31, 2024 | 2.79 Mn |
| Dec 31, 2023 | 5.14 Mn |
| Sep 30, 2023 | 3.63 Mn |
| Jun 30, 2023 | 3.72 Mn |
| Mar 31, 2023 | 3.81 Mn |
| Dec 31, 2022 | 5.43 Mn |
| Sep 30, 2022 | 2.32 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 609,000.00 |
| Dec 31, 2021 | 450,000.00 |
| Sep 30, 2021 | 434,000.00 |
| Jun 30, 2021 | 423,000.00 |
VerifyMe Total Current Liabilities 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=total-current-liabilities&ticker=VRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();