Verra Mobility (VRRM) Cash & Equivalents (2016 - 2026)
Verra Mobility (VRRM) posted Cash & Equivalents of $136.97 million for Q3 2026, down 30.2% from $196.1 million a year earlier but up 176.4% from the prior quarter.
Verra Mobility (VRRM) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Verra Mobility's Cash & Equivalents came in at $65.27 million, down 15.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- In prior years, Verra Mobility's Cash & Equivalents was $77.56 million in FY2024 (-43.1%), $136.31 million in FY2023 (+29.6%), $105.2 million in FY2022 (+3.9%) and $101.28 million in FY2021 (-15.8%).
- Quarterly Cash & Equivalents has run from a low of $46.89 million in Q1 2026 to a high of $210.08 million in Q2 2023 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last five quarters, with an average decline of 27.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2023, with growth of 143.2%; the weakest was Q2 2026, with a decline of 66.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $49.56 million (Q2 2026), $46.89 million (Q1 2026) and $65.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.53 Bn | 21.78 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.66 Bn | 21.43 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Ptc | 22.42 Bn | 21.24 Bn | 490.47 Mn | 351.45 Mn |
| 5 | Toast | 20.13 Bn | 12.77 Bn | 543.00 Mn | 1.20 Bn |
| 6 | Manhattan Associates | 14.70 Bn | 13.76 Bn | 174.30 Mn | 199.45 Mn |
| 7 | Bentley Systems | 13.97 Bn | 13.45 Bn | 349.55 Mn | 150.87 Mn |
| 8 | Trimble | 12.81 Bn | 11.90 Bn | 659.10 Mn | 214.50 Mn |
| 9 | Costar | 12.30 Bn | 7.69 Bn | 741.00 Mn | 500.00 Mn |
| 10 | Verra Mobility | 314.54 Mn | 4.54 Mn | 226.35 Mn | 136.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 136.97 Mn |
| Jun 30, 2026 | 49.56 Mn |
| Mar 31, 2026 | 46.89 Mn |
| Dec 31, 2025 | 65.27 Mn |
| Sep 30, 2025 | 196.10 Mn |
| Jun 30, 2025 | 147.65 Mn |
| Mar 31, 2025 | 108.45 Mn |
| Dec 31, 2024 | 77.56 Mn |
| Sep 30, 2024 | 206.09 Mn |
| Jun 30, 2024 | 122.02 Mn |
| Mar 31, 2024 | 149.52 Mn |
| Dec 31, 2023 | 136.31 Mn |
| Sep 30, 2023 | 114.38 Mn |
| Jun 30, 2023 | 210.08 Mn |
| Mar 31, 2023 | 64.27 Mn |
| Dec 31, 2022 | 105.20 Mn |
| Sep 30, 2022 | 51.58 Mn |
| Jun 30, 2022 | 86.39 Mn |
| Mar 31, 2022 | 93.38 Mn |
| Dec 31, 2021 | 101.28 Mn |
Verra Mobility Cash & Equivalents 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=cash-and-equivalents&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();