Rekor Systems (REKR) Selling, General & Administrative (2016 - 2026)
Rekor Systems (REKR) reported Selling, General & Administrative of $5.15 million for Q2 2026, down 25.8% from $6.94 million a year earlier and down 38.3% from the prior quarter.
Rekor Systems (REKR) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rekor Systems' Selling, General & Administrative came in at $24.45 million, down 18.2% year-over-year; for FY2025, it was $25.18 million, down 17.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $30.68 million in FY2024 (+13.5%), $27.04 million in FY2023 (+1.6%), $26.61 million in FY2022 (+15.7%) and $23.01 million in FY2021 (+123.8%).
- Five-year quarterly Selling, General & Administrative spans a low of $4.38 million in Q4 2022 and a high of $8.64 million in Q3 2024.
- Year over year, Selling, General & Administrative gained in two of the last eight quarters, with an average decline of 7.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 154.6%); the low point was Q4 2022 (a decline of 36.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.34 million (Q1 2026), $4.66 million (Q4 2025) and $6.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | 5.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.15 Mn |
| Mar 31, 2026 | 8.34 Mn |
| Dec 31, 2025 | 4.66 Mn |
| Sep 30, 2025 | 6.30 Mn |
| Jun 30, 2025 | 6.94 Mn |
| Mar 31, 2025 | 7.29 Mn |
| Dec 31, 2024 | 7.01 Mn |
| Sep 30, 2024 | 8.64 Mn |
| Jun 30, 2024 | 7.37 Mn |
| Mar 31, 2024 | 7.66 Mn |
| Dec 31, 2023 | 7.10 Mn |
| Sep 30, 2023 | 6.87 Mn |
| Jun 30, 2023 | 5.87 Mn |
| Mar 31, 2023 | 7.20 Mn |
| Dec 31, 2022 | 4.38 Mn |
| Sep 30, 2022 | 6.78 Mn |
| Jun 30, 2022 | 8.27 Mn |
| Mar 31, 2022 | 7.31 Mn |
| Dec 31, 2021 | 6.91 Mn |
| Sep 30, 2021 | 6.81 Mn |
Rekor Systems 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=REKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "REKR", "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=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();