Via Transportation (VIA) Net Cash Flow (2024 - 2026)
Via Transportation (VIA) reported Net Cash Flow of -$12.08 million for Q2 2026, compared with -$16.76 million a year earlier.
Via Transportation (VIA) Net Cash Flow (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Via Transportation's Net Cash Flow came in at $257.85 million; for FY2025, it came in at $291.65 million.
- By year, Net Cash Flow came in at $5.87 million in FY2024 and -$22.02 million in FY2023.
- Five-year quarterly Net Cash Flow spans a low of -$22.48 million in Q1 2026 and a high of $299.73 million in Q3 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$22.48 million (Q1 2026), -$7.33 million (Q4 2025) and $299.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | -84.14 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 74.21 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | -108.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | -84.09 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | -16.40 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 42.33 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | -37.41 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | -49.00 Mn |
| 10 | Via Transportation | 2.38 Bn | 948.29 Mn | 55.61 Mn | -12.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.08 Mn |
| Mar 31, 2026 | -22.48 Mn |
| Dec 31, 2025 | -7.33 Mn |
| Sep 30, 2025 | 299.73 Mn |
| Jun 30, 2025 | -16.76 Mn |
| Mar 31, 2025 | 16.00 Mn |
| Dec 31, 2024 | 20.28 Mn |
Via Transportation Net Cash Flow 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=net-cash-flow&ticker=VIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "VIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=VIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();