VerifyMe (VRME) Return on Capital Employed [ROCE] (2012 - 2026)
VerifyMe's Return on Capital Employed [ROCE] was -48.43% in Q1 2026, down 19.39 percentage points from -29.04% a year earlier and down 2.82 percentage points from the prior quarter.
VerifyMe (VRME) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at VerifyMe came in at -40.50%, down 9.47 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a three-year change of -34.20 percentage points (FY2022 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -31.03% in FY2024 (-9.68 pp), -21.35% in FY2023 (-15.05 pp) and -6.30% in FY2022.
- The Q1 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q1 2020.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for seven straight quarters, with an average year-over-year change of -9.42 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2022 (a gain of 22.67 percentage points); the worst was Q1 2026 (a drop of 19.39 percentage points).
- Per Business Quant data, VRME's Return on Capital Employed [ROCE] in the three quarters before Q1 2026 was -45.61% (Q4 2025), -35.79% (Q3 2025) and -27.13% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 15.69% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 6.84% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 9.67% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 11.61% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 8.86% |
| 10 | VerifyMe | 11.82 Mn | 11.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -48.43% |
| Dec 31, 2025 | -45.61% |
| Sep 30, 2025 | -35.79% |
| Jun 30, 2025 | -27.13% |
| Mar 31, 2025 | -29.04% |
| Dec 31, 2024 | -39.16% |
| Sep 30, 2024 | -29.70% |
| Jun 30, 2024 | -13.32% |
| Mar 31, 2024 | -14.97% |
| Dec 31, 2023 | -22.77% |
| Sep 30, 2023 | -22.01% |
| Jun 30, 2023 | -21.82% |
| Mar 31, 2023 | -22.13% |
| Dec 31, 2022 | -27.43% |
| Sep 30, 2022 | -8.27% |
| Jun 30, 2022 | -8.31% |
| Mar 31, 2022 | -25.45% |
| Dec 31, 2021 | -22.27% |
| Sep 30, 2021 | -26.13% |
| Jun 30, 2021 | -30.98% |
VerifyMe Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=VRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=VRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();