VerifyMe (VRME) Total Liabilities (2009 - 2026)
VerifyMe (VRME) posted Total Liabilities of $1.74 million for Q1 2026, down 29.1% from $2.45 million a year earlier and down 14.1% from the prior quarter.
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Analysis
VerifyMe (VRME) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, VerifyMe's Total Liabilities came in at $2.03 million, down 65.4% from FY2024.
- Annual Total Liabilities shows a three-year compound annual growth rate of -34.4% (FY2022 to FY2025).
- In prior years, VerifyMe's Total Liabilities was $5.85 million in FY2024 (-28.4%), $8.17 million in FY2023 (+14.1%) and $7.17 million in FY2022.
- The Q1 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last nine quarters, with an average decline of 40.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 850.1%; the weakest was Q2 2023, with a decline of 93.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.03 million (Q4 2025), $2.16 million (Q3 2025) and $2.73 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | VerifyMe | 1.30 Mn | 1.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.74 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.16 Mn |
| Jun 30, 2025 | 2.73 Mn |
| Mar 31, 2025 | 2.45 Mn |
| Dec 31, 2024 | 5.85 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 5.28 Mn |
| Mar 31, 2024 | 5.50 Mn |
| Dec 31, 2023 | 8.17 Mn |
| Sep 30, 2023 | 6.91 Mn |
| Jun 30, 2023 | 6.07 Mn |
| Mar 31, 2023 | 6.45 Mn |
| Dec 31, 2022 | 7.17 Mn |
| Sep 30, 2022 | 4.21 Mn |
| Jun 30, 2022 | 94.81 Mn |
| Mar 31, 2022 | 735,000.00 |
| Dec 31, 2021 | 521,000.00 |
| Sep 30, 2021 | 443,000.00 |
| Jun 30, 2021 | 423,000.00 |
API Access
VerifyMe Total 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-liabilities&ticker=VRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();