Viant Technology (DSP) Non-Current Assets (2020 - 2026)
Viant Technology's Non-Current Assets was $148.01 million in Q2 2026, up 80.0% from $82.22 million a year earlier and up 46.4% from the prior quarter.
Viant Technology (DSP) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Viant Technology came in at $98.47 million, up 25.7% from FY2024.
- Non-Current Assets has now increased for five consecutive years, with a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $78.32 million in FY2024 (+21.4%), $64.49 million in FY2023 (+2.3%), $63.02 million in FY2022 (+70.6%) and $36.95 million in FY2021 (+24.7%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2020.
- Compared with a year earlier, Non-Current Assets has increased for 19 straight quarters, with growth averaging 27.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 2.3% (Q4 2023) to 80.0% (Q2 2026).
- Per Business Quant data, DSP's Non-Current Assets in the three quarters before Q2 2026 was $101.09 million (Q1 2026), $98.47 million (Q4 2025) and $82.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.88 Bn |
| 10 | Viant Technology | 813.41 Mn | 287.61 Mn | 45.54 Mn | 148.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.01 Mn |
| Mar 31, 2026 | 101.09 Mn |
| Dec 31, 2025 | 98.47 Mn |
| Sep 30, 2025 | 82.30 Mn |
| Jun 30, 2025 | 82.22 Mn |
| Mar 31, 2025 | 78.75 Mn |
| Dec 31, 2024 | 78.32 Mn |
| Sep 30, 2024 | 69.33 Mn |
| Jun 30, 2024 | 67.20 Mn |
| Mar 31, 2024 | 67.50 Mn |
| Dec 31, 2023 | 64.49 Mn |
| Sep 30, 2023 | 64.41 Mn |
| Jun 30, 2023 | 63.40 Mn |
| Mar 31, 2023 | 62.74 Mn |
| Dec 31, 2022 | 63.02 Mn |
| Sep 30, 2022 | 59.21 Mn |
| Jun 30, 2022 | 56.25 Mn |
| Mar 31, 2022 | 57.27 Mn |
| Dec 31, 2021 | 36.95 Mn |
| Sep 30, 2021 | 37.55 Mn |
Viant Technology Non-Current Assets 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=non-current-assets&ticker=DSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();