Verra Mobility (VRRM) Long-Term Debt Repayments (2017 - 2026)
Verra Mobility (VRRM) recorded Long-Term Debt Repayments of $1.72 million in Q2 2026, down 23.6% from $2.25 million a year earlier and unchanged from the prior quarter.
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Analysis
Verra Mobility (VRRM) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a TTM basis, Verra Mobility's Long-Term Debt Repayments came in at $37.21 million as of Jun 30, 2026, down 18.4% year-over-year; for FY2025, it came in at $38.28 million, down 16.1% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $45.61 million in FY2024 (-74.9%), $181.52 million in FY2023, $9.02 million in FY2022 (-99.0%) and $884.53 million in FY2021.
- Quarterly Long-Term Debt Repayments has ranged from $1.62 million in Q3 2021 to $102.26 million in Q3 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined for three consecutive quarters, with an average decline of 14.1% over the last five quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 443.4% in Q2 2023, against a decline of 99.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.72 million (Q1 2026), $31.51 million (Q4 2025) and $2.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.05 Bn | 24.30 Bn | 695.95 Mn | - |
| 3 | Samsara | 25.30 Bn | 22.08 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn | - |
| 5 | Toast | 18.84 Bn | 11.51 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.60 Bn | 13.67 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.86 Bn | 12.85 Bn | 168.33 Mn | - |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.98 Bn | 11.44 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Verra Mobility | 448.24 Mn | 79.11 Mn | 235.35 Mn | 1.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.72 Mn |
| Mar 31, 2026 | 1.72 Mn |
| Dec 31, 2025 | 31.51 Mn |
| Sep 30, 2025 | 2.26 Mn |
| Jun 30, 2025 | 2.25 Mn |
| Mar 31, 2025 | 2.26 Mn |
| Dec 31, 2024 | 41.10 Mn |
| Jun 30, 2024 | 2.25 Mn |
| Mar 31, 2024 | 2.26 Mn |
| Dec 31, 2023 | 2.26 Mn |
| Sep 30, 2023 | 102.26 Mn |
| Jun 30, 2023 | 12.25 Mn |
| Mar 31, 2023 | 64.76 Mn |
| Dec 31, 2022 | 2.26 Mn |
| Sep 30, 2022 | 2.25 Mn |
| Jun 30, 2022 | 2.26 Mn |
| Mar 31, 2022 | 2.26 Mn |
| Dec 31, 2021 | 1.63 Mn |
| Sep 30, 2021 | 1.62 Mn |
| Jun 30, 2021 | 15.64 Mn |
API Access
Verra Mobility Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VRRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VRRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();