Verra Mobility (VRRM) Total Non-Current Liabilities (2017 - 2026)
Verra Mobility's Total Non-Current Liabilities was $1.39 billion in Q3 2026, up 2.3% from $1.36 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Verra Mobility (VRRM) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Verra Mobility came in at $1.34 billion, up 0.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.33 billion in FY2024 (-1.6%), $1.35 billion in FY2023 (-9.4%), $1.5 billion in FY2022 (-2.5%) and $1.53 billion in FY2021 (+50.2%).
- The Q3 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 seven straight quarters, with growth averaging 1.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 50.2%); the worst was Q3 2023 (a decline of 9.6%).
- Per Business Quant data, VRRM's Total Non-Current Liabilities in the three quarters before Q3 2026 was $1.37 billion (Q2 2026), $1.37 billion (Q1 2026) and $1.34 billion (Q4 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 | 49.70 Bn | 21.94 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.46 Bn | 21.27 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 20.17 Bn | 12.81 Bn | 543.00 Mn | 1.06 Bn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn | 531.84 Mn |
| 7 | Bentley Systems | 14.11 Bn | 13.58 Bn | 349.55 Mn | 2.16 Bn |
| 8 | Trimble | 12.72 Bn | 11.80 Bn | 659.10 Mn | 3.17 Bn |
| 9 | Costar | 12.56 Bn | 7.94 Bn | 741.00 Mn | 2.24 Bn |
| 10 | Verra Mobility | 322.99 Mn | 12.99 Mn | 226.35 Mn | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.39 Bn |
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.34 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 | 1.43 Bn |
| Dec 31, 2022 | 1.50 Bn |
| Sep 30, 2022 | 1.48 Bn |
| Jun 30, 2022 | 1.49 Bn |
| Mar 31, 2022 | 1.49 Bn |
| Dec 31, 2021 | 1.53 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();