Red Violet (RDVT) Other Operating Expenses (2017 - 2026)
Red Violet (RDVT) posted Other Operating Expenses of $12.36 million for Q2 2026, up 5.0% from $11.77 million a year earlier but down 1.1% from the prior quarter.
Red Violet (RDVT) Other Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Red Violet was $48.55 million, up 8.4% year-over-year; for FY2025, it was $46.87 million, up 13.8% from FY2024.
- Annual Other Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In prior years, Red Violet's Other Operating Expenses was $41.18 million in FY2024 (+17.6%), $35.02 million in FY2023 (+18.8%), $29.49 million in FY2022 (+16.6%) and $25.3 million in FY2021 (+8.3%).
- Quarterly Other Operating Expenses has run from a low of $6.29 million in Q3 2021 to a high of $12.49 million in Q1 2026 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 21 quarters, with growth averaging 13.4% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 4.1% (Q3 2021) and 26.6% (Q1 2023) over the last five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $12.49 million (Q1 2026), $11.98 million (Q4 2025) and $11.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Red Violet | 1.12 Bn | 932.85 Mn | 22.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.36 Mn |
| Mar 31, 2026 | 12.49 Mn |
| Dec 31, 2025 | 11.98 Mn |
| Sep 30, 2025 | 11.73 Mn |
| Jun 30, 2025 | 11.77 Mn |
| Mar 31, 2025 | 11.62 Mn |
| Dec 31, 2024 | 10.85 Mn |
| Sep 30, 2024 | 10.57 Mn |
| Jun 30, 2024 | 10.24 Mn |
| Mar 31, 2024 | 9.74 Mn |
| Dec 31, 2023 | 9.05 Mn |
| Sep 30, 2023 | 8.85 Mn |
| Jun 30, 2023 | 8.37 Mn |
| Mar 31, 2023 | 8.98 Mn |
| Dec 31, 2022 | 7.87 Mn |
| Sep 30, 2022 | 7.40 Mn |
| Jun 30, 2022 | 7.36 Mn |
| Mar 31, 2022 | 7.10 Mn |
| Dec 31, 2021 | 6.60 Mn |
| Sep 30, 2021 | 6.29 Mn |
Red Violet 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=RDVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "RDVT", "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=RDVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();