Wrap Technologies (WRAP) Selling, General & Administrative (2017 - 2026)
Wrap Technologies' Selling, General & Administrative was $3.64 million in Q2 2026, up 14.6% from $3.18 million a year earlier but down 32.0% from the prior quarter.
Wrap Technologies (WRAP) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wrap Technologies' Selling, General & Administrative was $17.72 million through Jun 30, 2026, up 15.7% year-over-year; for FY2025, it was $16.13 million, up 2.8% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $15.69 million in FY2024 (-14.6%), $18.36 million in FY2023 (+12.1%), $16.39 million in FY2022 (-19.2%) and $20.28 million in FY2021 (+74.3%).
- Quarterly Selling, General & Administrative has moved between $3.18 million (Q2 2025) and $5.76 million (Q4 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 1.1% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 43.0%); the worst was Q2 2022 (a decline of 42.8%).
- Per Business Quant data, WRAP's Selling, General & Administrative in the three quarters before Q2 2026 was $5.36 million (Q1 2026), $5.24 million (Q4 2025) and $3.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Wrap Technologies | 79.88 Mn | 58.40 Mn | 1.55 Mn | 3.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.64 Mn |
| Mar 31, 2026 | 5.36 Mn |
| Dec 31, 2025 | 5.24 Mn |
| Sep 30, 2025 | 3.48 Mn |
| Jun 30, 2025 | 3.18 Mn |
| Mar 31, 2025 | 4.14 Mn |
| Dec 31, 2024 | 4.66 Mn |
| Sep 30, 2024 | 3.33 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 4.22 Mn |
| Dec 31, 2023 | 5.76 Mn |
| Sep 30, 2023 | 4.32 Mn |
| Jun 30, 2023 | 4.75 Mn |
| Mar 31, 2023 | 3.54 Mn |
| Dec 31, 2022 | 4.43 Mn |
| Sep 30, 2022 | 3.59 Mn |
| Jun 30, 2022 | 3.76 Mn |
| Mar 31, 2022 | 4.61 Mn |
| Dec 31, 2021 | 4.07 Mn |
| Sep 30, 2021 | 4.65 Mn |
Wrap Technologies 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=WRAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "WRAP", "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=WRAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();