Red Violet (RDVT) Selling, General & Administrative (2017 - 2026)
Red Violet's Selling, General & Administrative came in at $8.27 million for Q2 2026, up 14.0% from $7.25 million a year earlier and up 4.7% from the prior quarter.
Red Violet (RDVT) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Red Violet reported Selling, General & Administrative of $32.76 million, up 18.0% year-over-year; for FY2025, it came in at $30.02 million, up 16.0% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $25.88 million in FY2024 (+15.3%), $22.45 million in FY2023 (-3.4%), $23.24 million in FY2022 (+17.3%) and $19.81 million in FY2021 (+11.1%).
- The five-year range for quarterly Selling, General & Administrative is $4.13 million (Q3 2021) to $9.81 million (Q4 2025).
- Year-over-year, Selling, General & Administrative has increased for ten consecutive quarters, with growth averaging 17.6% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2022 (growth of 32.4%), and the weakest in Q3 2023 (a decline of 4.4%).
- Business Quant data shows RDVT's Selling, General & Administrative at $7.9 million (Q1 2026), $9.81 million (Q4 2025) and $6.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 677.00 Mn |
| 10 | Red Violet | 1.12 Bn | 932.85 Mn | 22.90 Mn | 8.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.27 Mn |
| Mar 31, 2026 | 7.90 Mn |
| Dec 31, 2025 | 9.81 Mn |
| Sep 30, 2025 | 6.78 Mn |
| Jun 30, 2025 | 7.25 Mn |
| Mar 31, 2025 | 6.17 Mn |
| Dec 31, 2024 | 8.34 Mn |
| Sep 30, 2024 | 5.99 Mn |
| Jun 30, 2024 | 5.75 Mn |
| Mar 31, 2024 | 5.79 Mn |
| Dec 31, 2023 | 6.91 Mn |
| Sep 30, 2023 | 5.22 Mn |
| Jun 30, 2023 | 5.08 Mn |
| Mar 31, 2023 | 5.24 Mn |
| Dec 31, 2022 | 7.12 Mn |
| Sep 30, 2022 | 5.47 Mn |
| Jun 30, 2022 | 5.30 Mn |
| Mar 31, 2022 | 5.35 Mn |
| Dec 31, 2021 | 6.24 Mn |
| Sep 30, 2021 | 4.13 Mn |
Red Violet Selling, General & Administrative 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=selling-general-and-administrative&ticker=RDVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RDVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();