Verra Mobility (VRRM) Capital Expenditures (2018 - 2026)
Verra Mobility (VRRM) recorded Capital Expenditures of $23.85 million in Q2 2026, down 31.6% from $34.88 million a year earlier and down 23.6% from the prior quarter.
Verra Mobility (VRRM) Capital Expenditures (2018 - 2026) Analysis & Trends
On a TTM basis, Verra Mobility's Capital Expenditures came in at $118.02 million as of Jun 30, 2026, up 19.7% year-over-year; for FY2025, it was $119.09 million, up 68.1% from FY2024.
- Annual Capital Expenditures has increased for five straight years, with a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $70.86 million in FY2024 (+24.3%), $56.99 million in FY2023 (+18.3%), $48.19 million in FY2022 (+92.8%) and $25 million in FY2021 (+3.0%).
- The Q2 2026 figure is the lowest quarterly Capital Expenditures since Q1 2025.
- On a year-over-year basis, Capital Expenditures rose in seven of the last eight quarters, with growth averaging 57.1%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 209.9% in Q1 2022, against a decline of 31.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.2 million (Q1 2026), $34.23 million (Q4 2025) and $28.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (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 | 8.78 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 14.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 11.28 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 6.90 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 7.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 1.01 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 38.00 Mn |
| 10 | Verra Mobility | 471.15 Mn | 102.02 Mn | 235.35 Mn | 23.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.85 Mn |
| Mar 31, 2026 | 31.20 Mn |
| Dec 31, 2025 | 34.23 Mn |
| Sep 30, 2025 | 28.75 Mn |
| Jun 30, 2025 | 34.88 Mn |
| Mar 31, 2025 | 21.24 Mn |
| Dec 31, 2024 | 18.85 Mn |
| Sep 30, 2024 | 23.68 Mn |
| Jun 30, 2024 | 14.05 Mn |
| Mar 31, 2024 | 14.28 Mn |
| Dec 31, 2023 | 16.48 Mn |
| Sep 30, 2023 | 10.40 Mn |
| Jun 30, 2023 | 11.73 Mn |
| Mar 31, 2023 | 18.37 Mn |
| Dec 31, 2022 | 12.26 Mn |
| Sep 30, 2022 | 13.20 Mn |
| Jun 30, 2022 | 11.25 Mn |
| Mar 31, 2022 | 11.48 Mn |
| Dec 31, 2021 | 9.37 Mn |
| Sep 30, 2021 | 7.38 Mn |
Verra Mobility Capital Expenditures 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=capital-expenditures&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();