Via Transportation (VIA) Other Operating Expenses (2024 - 2026)
Via Transportation (VIA) reported Other Operating Expenses of $21.14 million for Q2 2026, up 32.4% from $15.97 million a year earlier and up 3.2% from the prior quarter.
Via Transportation (VIA) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Via Transportation's Other Operating Expenses came in at $77.88 million, up 31.2% year-over-year; for FY2025, it was $67.42 million, up 21.5% from FY2024.
- By year, Other Operating Expenses came in at $55.48 million in FY2024 (+3.1%) and $53.8 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q3 2024.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 31.1% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.49 million (Q1 2026), $18.59 million (Q4 2025) and $17.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Via Transportation | 2.37 Bn | 935.26 Mn | 55.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.14 Mn |
| Mar 31, 2026 | 20.49 Mn |
| Dec 31, 2025 | 18.59 Mn |
| Sep 30, 2025 | 17.66 Mn |
| Jun 30, 2025 | 15.97 Mn |
| Mar 31, 2025 | 15.20 Mn |
| Dec 31, 2024 | 14.77 Mn |
| Sep 30, 2024 | 13.43 Mn |
Via Transportation Other Operating Expenses 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=other-operating-expenses&ticker=VIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=VIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();