Verra Mobility (VRRM) Depreciation & Amortization (CF) (2018 - 2026)
Verra Mobility (VRRM) reported Depreciation & Amortization (CF) of $28.53 million for Q2 2026, down 2.1% from $29.16 million a year earlier and down 2.4% from the prior quarter.
Verra Mobility (VRRM) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verra Mobility's Depreciation & Amortization (CF) came in at $115.19 million, up 3.9% year-over-year; for FY2025, it came in at $114.08 million, up 5.1% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $108.53 million in FY2024 (-4.0%), $113.07 million in FY2023 (-18.5%), $138.68 million in FY2022 (+18.8%) and $116.75 million in FY2021 (+0.2%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) since Q1 2025.
- Year over year, Depreciation & Amortization (CF) gained in six of the last eight quarters, with growth averaging 3.3%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q2 2022 (growth of 27.9%); the low point was Q3 2023 (a decline of 21.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $29.23 million (Q1 2026), $28.9 million (Q4 2025) and $28.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 10.87 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 8.41 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 12.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 24.19 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 4.25 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 51.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 1.63 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 85.00 Mn |
| 10 | Verra Mobility | 471.15 Mn | 102.02 Mn | 235.35 Mn | 28.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.53 Mn |
| Mar 31, 2026 | 29.23 Mn |
| Dec 31, 2025 | 28.90 Mn |
| Sep 30, 2025 | 28.53 Mn |
| Jun 30, 2025 | 29.16 Mn |
| Mar 31, 2025 | 27.49 Mn |
| Dec 31, 2024 | 27.54 Mn |
| Sep 30, 2024 | 26.63 Mn |
| Jun 30, 2024 | 27.47 Mn |
| Mar 31, 2024 | 26.89 Mn |
| Dec 31, 2023 | 26.23 Mn |
| Sep 30, 2023 | 27.53 Mn |
| Jun 30, 2023 | 29.00 Mn |
| Mar 31, 2023 | 30.31 Mn |
| Dec 31, 2022 | 33.39 Mn |
| Sep 30, 2022 | 35.08 Mn |
| Jun 30, 2022 | 34.54 Mn |
| Mar 31, 2022 | 35.68 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 29.53 Mn |
Verra Mobility Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VRRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();