Via Transportation (VIA) Capital Expenditures (2024 - 2026)
Via Transportation's Capital Expenditures was $389,000 in Q2 2026, down 34.6% from $595,000 a year earlier but up 34.6% from the prior quarter.
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Analysis
Via Transportation (VIA) Capital Expenditures (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Via Transportation's Capital Expenditures was $1.36 million through Jun 30, 2026; for FY2025, it was $1.66 million, up 54.1% from FY2024.
- In earlier years, Capital Expenditures was $1.08 million in FY2024 (-57.1%) and $2.52 million in FY2023.
- Quarterly Capital Expenditures has moved between $217,000 (Q4 2024) and $595,000 (Q2 2025) over five years.
- Per Business Quant data, VIA's Capital Expenditures in the three quarters before Q2 2026 was $289,000 (Q1 2026), $326,000 (Q4 2025) and $354,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 8.78 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 14.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 11.28 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 7.10 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 6.90 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 1.01 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 38.00 Mn |
| 10 | Via Transportation | 2.38 Bn | 948.29 Mn | 55.61 Mn | 389,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389,000.00 |
| Mar 31, 2026 | 289,000.00 |
| Dec 31, 2025 | 326,000.00 |
| Sep 30, 2025 | 354,000.00 |
| Jun 30, 2025 | 595,000.00 |
| Mar 31, 2025 | 388,000.00 |
| Dec 31, 2024 | 217,000.00 |
API Access
Via Transportation Capital Expenditures 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=capital-expenditures&ticker=VIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();