Verra Mobility (VRRM) Property, Plant & Equipment (Net) (2017 - 2026)
Verra Mobility (VRRM) posted Property, Plant & Equipment (Net) of $266.95 million for Q3 2026, up 36.3% from $195.79 million a year earlier and up 7.2% from the prior quarter.
Verra Mobility (VRRM) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Verra Mobility's Property, Plant & Equipment (Net) came in at $208.7 million, up 47.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for five consecutive years, with a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- In prior years, Verra Mobility's Property, Plant & Equipment (Net) was $141.6 million in FY2024 (+14.9%), $123.25 million in FY2023 (+12.3%), $109.78 million in FY2022 (+14.3%) and $96.07 million in FY2021 (+36.7%).
- The Q3 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2017.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 22 quarters, with growth averaging 35.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 9.0% (Q2 2022) to 47.4% (Q4 2025).
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $249.08 million (Q2 2026), $225.88 million (Q1 2026) and $208.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.64 Bn | 21.89 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Ptc | 22.42 Bn | 21.23 Bn | 490.47 Mn | 62.84 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 153.00 Mn |
| 6 | Manhattan Associates | 14.72 Bn | 13.78 Bn | 174.30 Mn | 23.82 Mn |
| 7 | Bentley Systems | 13.98 Bn | 13.46 Bn | 349.55 Mn | 45.38 Mn |
| 8 | Trimble | 12.81 Bn | 11.89 Bn | 659.10 Mn | 182.50 Mn |
| 9 | Costar | 12.28 Bn | 7.67 Bn | 741.00 Mn | 1.46 Bn |
| 10 | Verra Mobility | 320.71 Mn | 10.71 Mn | 226.35 Mn | 266.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 266.95 Mn |
| Jun 30, 2026 | 249.08 Mn |
| Mar 31, 2026 | 225.88 Mn |
| Dec 31, 2025 | 208.70 Mn |
| Sep 30, 2025 | 195.79 Mn |
| Jun 30, 2025 | 177.80 Mn |
| Mar 31, 2025 | 154.11 Mn |
| Dec 31, 2024 | 141.60 Mn |
| Sep 30, 2024 | 136.82 Mn |
| Jun 30, 2024 | 133.31 Mn |
| Mar 31, 2024 | 126.98 Mn |
| Dec 31, 2023 | 123.25 Mn |
| Sep 30, 2023 | 117.83 Mn |
| Jun 30, 2023 | 114.47 Mn |
| Mar 31, 2023 | 111.38 Mn |
| Dec 31, 2022 | 109.78 Mn |
| Sep 30, 2022 | 105.27 Mn |
| Jun 30, 2022 | 102.76 Mn |
| Mar 31, 2022 | 99.35 Mn |
| Dec 31, 2021 | 96.07 Mn |
Verra Mobility Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();