Verra Mobility (VRRM) Inventory (2019 - 2026)
Verra Mobility (VRRM) reported Inventory of $24.28 million for Q2 2026, up 50.9% from $16.09 million a year earlier but down 12.2% from the prior quarter.
Verra Mobility (VRRM) Inventory (2019 - 2026) Analysis & Trends
At the end of FY2025, Verra Mobility posted Inventory of $20.66 million, up 33.3% from FY2024.
- Inventory has a five-year compound annual growth rate of 183.4% (FY2020 to FY2025).
- By year, Inventory came in at $15.5 million in FY2024 (-13.7%), $17.97 million in FY2023 (-6.9%), $19.31 million in FY2022 (+59.7%) and $12.09 million in FY2021.
- Five-year quarterly Inventory spans a low of $12.09 million in Q4 2021 and a high of $27.64 million in Q1 2026.
- Year over year, Inventory has now increased in each of the last four quarters, with growth averaging 17.4% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q1 2026 (growth of 73.3%); the low point was Q4 2024 (a decline of 13.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.64 million (Q1 2026), $20.66 million (Q4 2025) and $21.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 57.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 217.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 185.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Verra Mobility | 454.43 Mn | 85.30 Mn | 235.35 Mn | 24.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.28 Mn |
| Mar 31, 2026 | 27.64 Mn |
| Dec 31, 2025 | 20.66 Mn |
| Sep 30, 2025 | 21.70 Mn |
| Jun 30, 2025 | 16.09 Mn |
| Mar 31, 2025 | 15.95 Mn |
| Dec 31, 2024 | 15.50 Mn |
| Sep 30, 2024 | 18.71 Mn |
| Jun 30, 2024 | 17.17 Mn |
| Mar 31, 2024 | 17.30 Mn |
| Dec 31, 2023 | 17.97 Mn |
| Sep 30, 2023 | 19.94 Mn |
| Jun 30, 2023 | 19.79 Mn |
| Mar 31, 2023 | 18.92 Mn |
| Dec 31, 2022 | 19.31 Mn |
| Sep 30, 2022 | 17.92 Mn |
| Jun 30, 2022 | 16.55 Mn |
| Mar 31, 2022 | 15.45 Mn |
| Dec 31, 2021 | 12.09 Mn |
| Dec 31, 2020 | 113,000.00 |
Verra Mobility Inventory 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=inventory&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();