Viant Technology (DSP) Other Operating Expenses (2020 - 2026)
Viant Technology (DSP) reported Other Operating Expenses of $90.02 million for Q2 2026, up 38.2% from $65.15 million a year earlier and up 19.1% from the prior quarter.
Viant Technology (DSP) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Viant Technology's Other Operating Expenses came in at $321.19 million, up 24.0% year-over-year; for FY2025, it came in at $281.95 million, up 20.2% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $234.65 million in FY2024 (+19.8%), $195.89 million in FY2023 (-3.0%), $201.98 million in FY2022 (-8.2%) and $220.02 million in FY2021 (+74.8%).
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q1 2020.
- Year over year, Other Operating Expenses has now increased in each of the last ten quarters, with growth averaging 25.1% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2021 (growth of 77.3%); the low point was Q4 2022 (a decline of 16.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $75.58 million (Q1 2026), $85.4 million (Q4 2025) and $70.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Viant Technology | 818.06 Mn | 292.26 Mn | 45.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.02 Mn |
| Mar 31, 2026 | 75.58 Mn |
| Dec 31, 2025 | 85.40 Mn |
| Sep 30, 2025 | 70.19 Mn |
| Jun 30, 2025 | 65.15 Mn |
| Mar 31, 2025 | 61.22 Mn |
| Dec 31, 2024 | 69.38 Mn |
| Sep 30, 2024 | 63.24 Mn |
| Jun 30, 2024 | 54.03 Mn |
| Mar 31, 2024 | 48.01 Mn |
| Dec 31, 2023 | 51.84 Mn |
| Sep 30, 2023 | 51.26 Mn |
| Jun 30, 2023 | 51.39 Mn |
| Mar 31, 2023 | 41.40 Mn |
| Dec 31, 2022 | 53.72 Mn |
| Sep 30, 2022 | 50.06 Mn |
| Jun 30, 2022 | 53.25 Mn |
| Mar 31, 2022 | 44.95 Mn |
| Dec 31, 2021 | 64.60 Mn |
| Sep 30, 2021 | 50.69 Mn |
Viant Technology 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=DSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "DSP", "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=DSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();