Veritone (VERI) Return on Sales [ROS] (2016 - 2026)
Veritone's Return on Sales [ROS] was -91.23% in Q2 2026, down 9.26 percentage points from -81.97% a year earlier.
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Analysis
Veritone (VERI) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Veritone's Return on Sales [ROS] was -86.98% through Jun 30, 2026, up 6.46 percentage points year-over-year; for FY2025, it was -88.14%, up 7.08 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -5.52 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -95.22% in FY2024 (+4.37 pp), -99.58% in FY2023 (-74.21 pp), -25.38% in FY2022 (+27.85 pp) and -53.23% in FY2021 (+29.38 pp).
- Quarterly Return on Sales [ROS] has moved between -112.78% (Q4 2025) and -9.71% (Q3 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last seven quarters, with an average year-over-year change of -2.87 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2022 (a gain of 106.44 percentage points); the worst was Q2 2023 (a drop of 90.16 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Veritone | 74.31 Mn | -15.34 Mn | 15.46 Mn | -91.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -91.23% |
| Dec 31, 2025 | -112.78% |
| Sep 30, 2025 | -68.19% |
| Jun 30, 2025 | -81.97% |
| Mar 31, 2025 | -96.31% |
| Dec 31, 2024 | -93.79% |
| Sep 30, 2024 | -102.27% |
| Jun 30, 2024 | -84.40% |
| Mar 31, 2024 | -100.90% |
| Dec 31, 2023 | -73.04% |
| Sep 30, 2023 | -90.04% |
| Jun 30, 2023 | -100.76% |
| Mar 31, 2023 | -77.95% |
| Dec 31, 2022 | -22.67% |
| Sep 30, 2022 | -9.71% |
| Jun 30, 2022 | -10.60% |
| Mar 31, 2022 | -60.47% |
| Dec 31, 2021 | -12.89% |
| Sep 30, 2021 | -48.91% |
| Jun 30, 2021 | -65.85% |
API Access
Veritone Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VERI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();