Verra Mobility (VRRM) Accumulated Expenses (2016 - 2026)
Verra Mobility (VRRM) posted Accumulated Expenses of $80.74 million for Q3 2026, up 13.4% from $71.22 million a year earlier and up 33.8% from the prior quarter.
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Analysis
Verra Mobility (VRRM) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Verra Mobility's Accumulated Expenses came in at $69.85 million, down 5.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- In prior years, Verra Mobility's Accumulated Expenses was $73.98 million in FY2024 (-20.6%), $93.12 million in FY2023 (+90.6%), $48.85 million in FY2022 (+27.1%) and $38.44 million in FY2021 (+158.2%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses since Q4 2023.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 0.7%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 168.3%; the weakest was Q1 2026, with a decline of 26.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $60.35 million (Q2 2026), $53.87 million (Q1 2026) and $69.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.53 Bn | 21.78 Bn | 695.95 Mn |
| 3 | Samsara | 24.66 Bn | 21.43 Bn | 392.58 Mn |
| 4 | Ptc | 22.42 Bn | 21.24 Bn | 490.47 Mn |
| 5 | Toast | 20.13 Bn | 12.77 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.70 Bn | 13.76 Bn | 174.30 Mn |
| 7 | Bentley Systems | 13.97 Bn | 13.45 Bn | 349.55 Mn |
| 8 | Trimble | 12.81 Bn | 11.90 Bn | 659.10 Mn |
| 9 | Costar | 12.30 Bn | 7.69 Bn | 741.00 Mn |
| 10 | Verra Mobility | 314.54 Mn | 4.54 Mn | 226.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.74 Mn |
| Jun 30, 2026 | 60.35 Mn |
| Mar 31, 2026 | 53.87 Mn |
| Dec 31, 2025 | 69.85 Mn |
| Sep 30, 2025 | 71.22 Mn |
| Jun 30, 2025 | 61.59 Mn |
| Mar 31, 2025 | 73.54 Mn |
| Dec 31, 2024 | 73.98 Mn |
| Sep 30, 2024 | 66.97 Mn |
| Jun 30, 2024 | 58.91 Mn |
| Mar 31, 2024 | 54.07 Mn |
| Dec 31, 2023 | 93.12 Mn |
| Sep 30, 2023 | 59.46 Mn |
| Jun 30, 2023 | 51.64 Mn |
| Mar 31, 2023 | 52.04 Mn |
| Dec 31, 2022 | 48.85 Mn |
| Sep 30, 2022 | 45.07 Mn |
| Jun 30, 2022 | 49.60 Mn |
| Mar 31, 2022 | 46.67 Mn |
| Dec 31, 2021 | 38.44 Mn |
API Access
Verra Mobility Accumulated 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=accumulated-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();