Verra Mobility (VRRM) Other Operating Expenses (2016 - 2026)
Verra Mobility (VRRM) posted Other Operating Expenses of $252.38 million for Q2 2026, up 102.9% from $124.37 million a year earlier and up 92.8% from the prior quarter.
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Analysis
Verra Mobility (VRRM) Other Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Verra Mobility was $669.95 million, up 18.6% year-over-year; for FY2025, it came in at $475.89 million, down 6.1% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, Verra Mobility's Other Operating Expenses was $506.73 million in FY2024 (+28.4%), $394.75 million in FY2023 (+3.5%), $381.56 million in FY2022 (+32.2%) and $288.52 million in FY2021 (+18.7%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q3 2016.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 26.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2026, with growth of 102.9%; the weakest was Q4 2025, with a decline of 30.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $130.92 million (Q1 2026), $147.29 million (Q4 2025) and $139.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Verra Mobility | 471.15 Mn | 102.02 Mn | 235.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 88.64 Mn |
API Access
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_KEYimport 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();