Verra Mobility (VRRM) Change in Accured Expenses (2016 - 2026)
Verra Mobility's Change in Accured Expenses came in at $28.47 million for Q2 2026, up 185.2% from $9.99 million a year earlier.
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Analysis
Verra Mobility (VRRM) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Verra Mobility reported Change in Accured Expenses of $13.26 million, down 41.5% year-over-year; for FY2025, it came in at -$1.77 million.
- Going back by year, Change in Accured Expenses was -$16.43 million in FY2024, $50.51 million in FY2023 (+675.6%), $6.51 million in FY2022 (-21.5%) and $8.3 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to Q3 2016.
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 51.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2023 (growth of 502.4%), and the weakest in Q2 2024 (a decline of 27.1%).
- Business Quant data shows VRRM's Change in Accured Expenses at -$5.54 million (Q1 2026), -$30.06 million (Q4 2025) and $20.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Verra Mobility | 427.07 Mn | 57.94 Mn | 235.35 Mn | 28.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.47 Mn |
| Mar 31, 2026 | -5.54 Mn |
| Dec 31, 2025 | -30.06 Mn |
| Sep 30, 2025 | 20.39 Mn |
| Jun 30, 2025 | 9.99 Mn |
| Mar 31, 2025 | -2.09 Mn |
| Dec 31, 2024 | -9.83 Mn |
| Sep 30, 2024 | 24.57 Mn |
| Jun 30, 2024 | 9.61 Mn |
| Mar 31, 2024 | -40.78 Mn |
| Dec 31, 2023 | 23.45 Mn |
| Sep 30, 2023 | 18.17 Mn |
| Jun 30, 2023 | 13.18 Mn |
| Mar 31, 2023 | -4.29 Mn |
| Dec 31, 2022 | 8.49 Mn |
| Sep 30, 2022 | -3.69 Mn |
| Jun 30, 2022 | 2.19 Mn |
| Mar 31, 2022 | -477,000.00 |
| Dec 31, 2021 | -6.04 Mn |
| Sep 30, 2021 | 12.15 Mn |
API Access
Verra Mobility Change in Accured Expenses 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=change-in-accured-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();