Evolv Technologies Holdings (EVLV) Selling, General & Administrative (2020 - 2026)
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Analysis
Evolv Technologies Holdings (EVLV) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 120.59 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 59.60 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 90.35 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 81.87 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 98.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 677.00 Mn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Evolv Technologies Holdings | 804.68 Mn | 545.08 Mn | 23.55 Mn | 18.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.66 Mn |
| Jun 30, 2026 | 14.03 Mn |
| Mar 31, 2026 | 13.52 Mn |
| Dec 31, 2025 | 10.07 Mn |
| Sep 30, 2025 | 12.58 Mn |
| Jun 30, 2025 | 17.24 Mn |
| Mar 31, 2025 | 14.97 Mn |
| Dec 31, 2024 | 16.76 Mn |
| Sep 30, 2024 | 13.98 Mn |
| Jun 30, 2024 | 14.06 Mn |
| Mar 31, 2024 | 11.81 Mn |
| Dec 31, 2023 | 11.13 Mn |
| Sep 30, 2023 | 11.26 Mn |
| Jun 30, 2023 | 10.87 Mn |
| Mar 31, 2023 | 8.93 Mn |
| Dec 31, 2022 | 8.49 Mn |
| Sep 30, 2022 | 9.09 Mn |
| Jun 30, 2022 | 9.57 Mn |
| Mar 31, 2022 | 10.82 Mn |
| Dec 31, 2021 | 7.81 Mn |
API Access
Evolv Technologies Holdings 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=EVLV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EVLV", "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=EVLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();