Verra Mobility (VRRM) EBITDA (2018 - 2026)
Verra Mobility (VRRM) posted EBITDA of -$4.25 million for Q2 2026, compared with $92.35 million a year earlier.
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Analysis
Verra Mobility (VRRM) EBITDA (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Verra Mobility was $252.05 million, up 0.1% year-over-year; for FY2025, it came in at $352.49 million, up 44.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In prior years, Verra Mobility's EBITDA was $244.55 million in FY2024 (-19.0%), $301.88 million in FY2023 (-0.5%), $303.39 million in FY2022 (+32.7%) and $228.62 million in FY2021 (+48.1%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA since Q4 2024.
- On a year-over-year basis, EBITDA increased in four of the last five quarters, with growth averaging 4.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2022, with growth of 125.9%; the weakest was Q4 2023, with a decline of 34.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $81.03 million (Q1 2026), $71.93 million (Q4 2025) and $103.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.27 Bn | 23.52 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 24.62 Bn | 21.39 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Ptc | 22.15 Bn | 20.96 Bn | 490.47 Mn | 190.70 Mn |
| 5 | Toast | 18.91 Bn | 11.58 Bn | 516.00 Mn | 188.00 Mn |
| 6 | Trimble | 14.48 Bn | 13.54 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Manhattan Associates | 13.59 Bn | 12.58 Bn | 168.33 Mn | 67.86 Mn |
| 8 | Costar | 13.32 Bn | 7.27 Bn | 728.00 Mn | 191.00 Mn |
| 9 | Bentley Systems | 11.96 Bn | 11.42 Bn | 336.74 Mn | 105.71 Mn |
| 10 | Verra Mobility | 458.87 Mn | 89.75 Mn | 235.35 Mn | -3.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.69 Mn |
| Mar 31, 2026 | 81.59 Mn |
| Dec 31, 2025 | 72.52 Mn |
| Sep 30, 2025 | 104.30 Mn |
| Jun 30, 2025 | 93.32 Mn |
| Mar 31, 2025 | 85.81 Mn |
| Dec 31, 2024 | -15.18 Mn |
| Sep 30, 2024 | 91.56 Mn |
| Jun 30, 2024 | 89.67 Mn |
| Mar 31, 2024 | 82.60 Mn |
| Dec 31, 2023 | 50.66 Mn |
| Sep 30, 2023 | 87.83 Mn |
| Jun 30, 2023 | 86.40 Mn |
| Mar 31, 2023 | 81.69 Mn |
| Dec 31, 2022 | 76.81 Mn |
| Sep 30, 2022 | 82.01 Mn |
| Jun 30, 2022 | 81.09 Mn |
| Mar 31, 2022 | 68.99 Mn |
| Dec 31, 2021 | 70.08 Mn |
| Sep 30, 2021 | 72.54 Mn |
API Access
Verra Mobility EBITDA 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=ebitda&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();