Verra Mobility (VRRM) Other Non-Current Assets (2016 - 2026)
Verra Mobility (VRRM) posted Other Non-Current Assets of $24.42 million for Q2 2026, down 45.0% from $44.39 million a year earlier but up 14.4% from the prior quarter.
Verra Mobility (VRRM) Other Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Verra Mobility's Other Non-Current Assets came in at $22.37 million, down 49.7% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 45.1% (FY2020 to FY2025).
- In prior years, Verra Mobility's Other Non-Current Assets was $44.45 million in FY2024 (+31.1%), $33.92 million in FY2023 (+171.7%), $12.48 million in FY2022 (-14.3%) and $14.56 million in FY2021 (+319.1%).
- Quarterly Other Non-Current Assets has run from a low of $8.73 million in Q1 2022 to a high of $46.35 million in Q1 2025 over five years.
- On a year-over-year basis, Other Non-Current Assets has declined in each of the last three quarters, with growth averaging 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q3 2021, with growth of 332.1%; the weakest was Q1 2026, with a decline of 53.9%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $21.35 million (Q1 2026), $22.37 million (Q4 2025) and $34.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 60.47 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 20.13 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 185.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 688.18 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 10.99 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 464.50 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 47.68 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 190.00 Mn |
| 10 | Verra Mobility | 471.15 Mn | 102.02 Mn | 235.35 Mn | 24.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.42 Mn |
| Mar 31, 2026 | 21.35 Mn |
| Dec 31, 2025 | 22.37 Mn |
| Sep 30, 2025 | 34.66 Mn |
| Jun 30, 2025 | 44.39 Mn |
| Mar 31, 2025 | 46.35 Mn |
| Dec 31, 2024 | 44.45 Mn |
| Sep 30, 2024 | 34.43 Mn |
| Jun 30, 2024 | 34.63 Mn |
| Mar 31, 2024 | 32.86 Mn |
| Dec 31, 2023 | 33.92 Mn |
| Sep 30, 2023 | 16.96 Mn |
| Jun 30, 2023 | 15.44 Mn |
| Mar 31, 2023 | 12.61 Mn |
| Dec 31, 2022 | 12.48 Mn |
| Sep 30, 2022 | 12.51 Mn |
| Jun 30, 2022 | 12.58 Mn |
| Mar 31, 2022 | 8.73 Mn |
| Dec 31, 2021 | 14.56 Mn |
| Sep 30, 2021 | 15.67 Mn |
Verra Mobility Other Non-Current Assets 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=other-non-current-assets&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();