Verra Mobility (VRRM) Other Operating Expenses (2018 - 2026)
Verra Mobility (VRRM) reported Other Operating Expenses of $90.4 million for Q3 2026, up 2.7% from $88.04 million a year earlier but down 53.6% from the prior quarter.
Verra Mobility (VRRM) Other Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Verra Mobility's Other Operating Expenses came in at $461.46 million, up 11.3% year-over-year; for FY2025, it came in at $333.24 million, down 15.2% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $393.01 million in FY2024 (+43.8%), $273.29 million in FY2023 (+20.8%), $226.32 million in FY2022 (+38.5%) and $163.37 million in FY2021 (+41.2%).
- Five-year quarterly Other Operating Expenses spans a low of $48.14 million in Q4 2021 and a high of $194.97 million in Q2 2026.
- Year over year, Other Operating Expenses has now increased in each of the last three quarters, with growth averaging 32.9% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q2 2026 (growth of 139.8%); the low point was Q4 2025 (a decline of 47.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $194.97 million (Q2 2026), $85.94 million (Q1 2026) and $90.15 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 149.88 Mn |
| Jun 30, 2026 | 252.38 Mn |
| Mar 31, 2026 | 130.92 Mn |
| Dec 31, 2025 | 147.29 Mn |
| Sep 30, 2025 | 139.37 Mn |
| Jun 30, 2025 | 124.37 Mn |
| Mar 31, 2025 | 114.37 Mn |
| Dec 31, 2024 | 212.27 Mn |
| Sep 30, 2024 | 113.74 Mn |
| Jun 30, 2024 | 114.91 Mn |
| Mar 31, 2024 | 107.21 Mn |
| Dec 31, 2023 | 114.63 Mn |
| Sep 30, 2023 | 108.48 Mn |
| Jun 30, 2023 | 105.05 Mn |
| Mar 31, 2023 | 101.79 Mn |
| Dec 31, 2022 | 103.81 Mn |
| Sep 30, 2022 | 111.03 Mn |
| Jun 30, 2022 | 102.17 Mn |
| Mar 31, 2022 | 96.74 Mn |
| Dec 31, 2021 | 96.09 Mn |
Verra Mobility Other Operating 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=other-operating-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();