Verra Mobility (VRRM) Intangibles (2017 - 2026)
Verra Mobility's Intangibles came in at $98.69 million for Q2 2026, down 50.9% from $200.92 million a year earlier and down 35.7% from the prior quarter.
Verra Mobility (VRRM) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2025, Verra Mobility's Intangibles was $168.64 million, down 27.4% from FY2024.
- Intangibles has declined in each of the last four years, with a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- Going back by year, Intangibles was $232.3 million in FY2024 (-22.8%), $301.03 million in FY2023 (-20.2%), $377.42 million in FY2022 (-22.5%) and $487.3 million in FY2021 (+42.4%).
- The Q2 2026 figure represents the lowest quarterly Intangibles in data going back to Q4 2017.
- Year-over-year, Intangibles has declined for 15 consecutive quarters, with an average decline of 28.2% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q1 2022 (growth of 44.2%), and the weakest in Q2 2026 (a decline of 50.9%).
- Business Quant data shows VRRM's Intangibles at $153.37 million (Q1 2026), $168.64 million (Q4 2025) and $185.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 55.65 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 11.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 765.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 27.60 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 850.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.67 Bn |
| 10 | Verra Mobility | 471.15 Mn | 102.02 Mn | 235.35 Mn | 98.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.69 Mn |
| Mar 31, 2026 | 153.37 Mn |
| Dec 31, 2025 | 168.64 Mn |
| Sep 30, 2025 | 185.21 Mn |
| Jun 30, 2025 | 200.92 Mn |
| Mar 31, 2025 | 216.01 Mn |
| Dec 31, 2024 | 232.30 Mn |
| Sep 30, 2024 | 251.33 Mn |
| Jun 30, 2024 | 266.97 Mn |
| Mar 31, 2024 | 283.41 Mn |
| Dec 31, 2023 | 301.03 Mn |
| Sep 30, 2023 | 315.75 Mn |
| Jun 30, 2023 | 335.78 Mn |
| Mar 31, 2023 | 355.68 Mn |
| Dec 31, 2022 | 377.42 Mn |
| Sep 30, 2022 | 399.99 Mn |
| Jun 30, 2022 | 429.81 Mn |
| Mar 31, 2022 | 460.08 Mn |
| Dec 31, 2021 | 487.30 Mn |
| Sep 30, 2021 | 317.03 Mn |
Verra Mobility Intangibles 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=intangibles&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "VRRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();