Via Transportation (VIA) FCF Margin (2024 - 2026)
Via Transportation (VIA) posted FCF Margin of -8.13% for Q2 2026, up 7.63 percentage points from -15.76% a year earlier and up 8.73 percentage points from the prior quarter.
Via Transportation (VIA) FCF Margin (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Via Transportation was -8.58%; for FY2025, it came in at -7.49%, up 13.55 percentage points from FY2024.
- In prior years, Via Transportation's FCF Margin was -21.04% in FY2024 (+17.19 pp) and -38.23% in FY2023.
- Quarterly FCF Margin has run from a low of -19.49% in Q4 2024 to a high of -0.66% in Q4 2025 over five years.
- According to Business Quant data, FCF Margin for the three prior quarters was -16.86% (Q1 2026), -0.66% (Q4 2025) and -8.10% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 25.72% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 12.73% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 6.81% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 41.55% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 23.99% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 27.26% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 30.11% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.32% |
| 10 | Via Transportation | 2.37 Bn | 935.26 Mn | 55.61 Mn | -8.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.13% |
| Mar 31, 2026 | -16.86% |
| Dec 31, 2025 | -0.66% |
| Sep 30, 2025 | -8.10% |
| Jun 30, 2025 | -15.76% |
| Mar 31, 2025 | -6.07% |
| Dec 31, 2024 | -19.49% |
Via Transportation FCF Margin 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=fcf-margin&ticker=VIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=VIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();