Verra Mobility (VRRM) Total Non-Current Liabilities (2016 - 2026)
Verra Mobility's Total Non-Current Liabilities was $1.37 billion in Q2 2026, up 3.7% from $1.32 billion a year earlier and up 0.6% from the prior quarter.
Powered by 
Analysis
Verra Mobility (VRRM) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Verra Mobility came in at $1.33 billion, up 0.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.33 billion in FY2024 (-1.6%), $1.35 billion in FY2023 (-10.5%), $1.51 billion in FY2022 (-3.4%) and $1.57 billion in FY2021 (+49.7%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q2 2023.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 1.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 49.7%); the worst was Q4 2023 (a decline of 10.5%).
- Per Business Quant data, VRRM's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.37 billion (Q1 2026), $1.33 billion (Q4 2025) and $1.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Verra Mobility | 462.03 Mn | 92.90 Mn | 235.35 Mn | 1.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.32 Bn |
| Mar 31, 2025 | 1.33 Bn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 31, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.34 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 1.44 Bn |
| Dec 31, 2022 | 1.51 Bn |
| Sep 30, 2022 | 1.49 Bn |
| Jun 30, 2022 | 1.50 Bn |
| Mar 31, 2022 | 1.51 Bn |
| Dec 31, 2021 | 1.57 Bn |
| Sep 30, 2021 | 1.20 Bn |
API Access
Verra Mobility Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();