Rekor Systems (REKR) Research & Development (2018 - 2026)
Rekor Systems (REKR) reported Research & Development of $2.44 million for Q2 2026, down 33.3% from $3.65 million a year earlier and down 30.1% from the prior quarter.
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Analysis
Rekor Systems (REKR) Research & Development (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rekor Systems' Research & Development came in at $12.89 million, down 21.4% year-over-year; for FY2025, it was $14.6 million, down 22.2% from FY2024.
- Research & Development has a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- By year, Research & Development came in at $18.77 million in FY2024 (+2.7%), $18.27 million in FY2023 (-1.9%), $18.62 million in FY2022 (+124.5%) and $8.29 million in FY2021 (+160.3%).
- The Q2 2026 figure ranks as the lowest quarterly Research & Development since Q3 2021.
- Year over year, Research & Development has now declined in each of the last seven quarters, with an average decline of 16.0% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q4 2021 (growth of 240.8%); the low point was Q2 2026 (a decline of 33.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.49 million (Q1 2026), $3.31 million (Q4 2025) and $3.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Rekor Systems | 45.33 Mn | 3.66 Mn | 7.11 Mn | 2.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.44 Mn |
| Mar 31, 2026 | 3.49 Mn |
| Dec 31, 2025 | 3.31 Mn |
| Sep 30, 2025 | 3.66 Mn |
| Jun 30, 2025 | 3.65 Mn |
| Mar 31, 2025 | 3.98 Mn |
| Dec 31, 2024 | 4.03 Mn |
| Sep 30, 2024 | 4.74 Mn |
| Jun 30, 2024 | 4.99 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 4.26 Mn |
| Sep 30, 2023 | 4.27 Mn |
| Jun 30, 2023 | 4.78 Mn |
| Mar 31, 2023 | 4.96 Mn |
| Dec 31, 2022 | 4.84 Mn |
| Sep 30, 2022 | 4.91 Mn |
| Jun 30, 2022 | 4.73 Mn |
| Mar 31, 2022 | 4.09 Mn |
| Dec 31, 2021 | 3.55 Mn |
| Sep 30, 2021 | 2.00 Mn |
API Access
Rekor Systems Research & Development 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=research-and-development&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();