Verra Mobility (VRRM) Non Operating Interest Expenses (2018 - 2026)
Verra Mobility's Non Operating Interest Expenses came in at $15.49 million for Q2 2026, down 6.6% from $16.57 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Verra Mobility (VRRM) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Verra Mobility reported Non Operating Interest Expenses of $62.3 million, down 9.2% year-over-year; for FY2025, it was $64.62 million, down 12.6% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $73.9 million in FY2024 (-14.8%), $86.7 million in FY2023 (+25.0%), $69.37 million in FY2022 (+54.4%) and $44.94 million in FY2021 (+10.0%).
- The five-year range for quarterly Non Operating Interest Expenses is $11.64 million (Q3 2021) to $22.8 million (Q2 2023).
- Year-over-year, Non Operating Interest Expenses has declined for ten consecutive quarters, with an average decline of 11.5% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2022 (growth of 74.4%), and the weakest in Q4 2024 (a decline of 19.9%).
- Business Quant data shows VRRM's Non Operating Interest Expenses at $15.41 million (Q1 2026), $14.99 million (Q4 2025) and $16.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 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 | 15.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.49 Mn |
| Mar 31, 2026 | 15.41 Mn |
| Dec 31, 2025 | 14.99 Mn |
| Sep 30, 2025 | 16.42 Mn |
| Jun 30, 2025 | 16.57 Mn |
| Mar 31, 2025 | 16.64 Mn |
| Dec 31, 2024 | 16.70 Mn |
| Sep 30, 2024 | 18.72 Mn |
| Jun 30, 2024 | 18.85 Mn |
| Mar 31, 2024 | 19.64 Mn |
| Dec 31, 2023 | 20.86 Mn |
| Sep 30, 2023 | 20.38 Mn |
| Jun 30, 2023 | 22.80 Mn |
| Mar 31, 2023 | 22.70 Mn |
| Dec 31, 2022 | 20.35 Mn |
| Sep 30, 2022 | 20.30 Mn |
| Jun 30, 2022 | 14.50 Mn |
| Mar 31, 2022 | 14.30 Mn |
| Dec 31, 2021 | 12.44 Mn |
| Sep 30, 2021 | 11.64 Mn |
API Access
Verra Mobility Non Operating Interest 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=non-operating-interest-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();