Verra Mobility (VRRM) Shares Outstanding (2016 - 2026)
Verra Mobility (VRRM) recorded Weighted Average Shares Outstanding of 152 million in Q3 2026, down 4.7% from 159.55 million a year earlier and unchanged from the prior quarter.
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Analysis
Verra Mobility (VRRM) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Verra Mobility reported Weighted Average Shares Outstanding of 159 million, down 3.7% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 165.09 million in FY2024 (+4.0%), 158.78 million in FY2023 (+3.9%), 152.85 million in FY2022 (-4.5%) and 159.98 million in FY2021 (-1.0%).
- Quarterly Weighted Average Shares Outstanding has ranged from 149.17 million in Q1 2023 to 168.09 million in Q3 2023 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for seven consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 11.4% in Q1 2024, against a decline of 5.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 151.95 million (Q2 2026), 151.85 million (Q1 2026) and 159 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 49.53 Bn | 21.78 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 24.66 Bn | 21.43 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Ptc | 22.42 Bn | 21.24 Bn | 490.47 Mn | 114.68 Mn |
| 5 | Toast | 20.13 Bn | 12.77 Bn | 543.00 Mn | 579.00 Mn |
| 6 | Manhattan Associates | 14.70 Bn | 13.76 Bn | 174.30 Mn | 58.76 Mn |
| 7 | Bentley Systems | 13.97 Bn | 13.45 Bn | 349.55 Mn | 310.47 Mn |
| 8 | Trimble | 12.81 Bn | 11.90 Bn | 659.10 Mn | 232.40 Mn |
| 9 | Costar | 12.30 Bn | 7.69 Bn | 741.00 Mn | 401.60 Mn |
| 10 | Verra Mobility | 314.54 Mn | 4.54 Mn | 226.35 Mn | 152.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 152.00 Mn |
| Jun 30, 2026 | 151.95 Mn |
| Mar 31, 2026 | 151.85 Mn |
| Dec 31, 2025 | 159.00 Mn |
| Sep 30, 2025 | 159.55 Mn |
| Jun 30, 2025 | 159.48 Mn |
| Mar 31, 2025 | 159.54 Mn |
| Dec 31, 2024 | 165.09 Mn |
| Sep 30, 2024 | 164.74 Mn |
| Jun 30, 2024 | 166.06 Mn |
| Mar 31, 2024 | 166.24 Mn |
| Dec 31, 2023 | 158.78 Mn |
| Sep 30, 2023 | 168.09 Mn |
| Jun 30, 2023 | 151.13 Mn |
| Mar 31, 2023 | 149.17 Mn |
| Dec 31, 2022 | 152.85 Mn |
| Sep 30, 2022 | 151.43 Mn |
| Jun 30, 2022 | 154.69 Mn |
| Mar 31, 2022 | 156.13 Mn |
| Dec 31, 2021 | 159.98 Mn |
API Access
Verra Mobility Shares Outstanding 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=shares-outstanding&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();