Rekor Systems (REKR) Operating Margin (2016 - 2026)
Rekor Systems' Operating Margin came in at 1.75% for Q2 2026, up 64.34 percentage points from -62.59% a year earlier and up 87.66 percentage points from the prior quarter.
Rekor Systems (REKR) Operating Margin (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rekor Systems reported Operating Margin of -39.36%, up 69.07 percentage points year-over-year; for FY2025, it came in at -59.62%, up 58.40 percentage points from FY2024.
- Operating Margin has increased in each of the last three years, with a five-year change of +68.69 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was -118.02% in FY2024 (+2.54 pp), -120.56% in FY2023 (+310.08 pp), -430.64% in FY2022 (-155.62 pp) and -275.02% in FY2021 (-146.72 pp).
- The Q2 2026 figure represents the highest quarterly Operating Margin in data going back to Q3 2016.
- Year-over-year, Operating Margin has increased for six consecutive quarters, with an average year-over-year change of +29.69 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2022 (a gain of 2436.73 percentage points), and the weakest in Q4 2021 (a drop of 2483.45 percentage points).
- Business Quant data shows REKR's Operating Margin at -85.91% (Q1 2026), -55.47% (Q4 2025) and -27.97% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 5.17% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 13.29% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 9.66% |
| 10 | Rekor Systems | 53.68 Mn | 12.01 Mn | 7.11 Mn | 1.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.75% |
| Mar 31, 2026 | -85.91% |
| Dec 31, 2025 | -55.47% |
| Sep 30, 2025 | -27.97% |
| Jun 30, 2025 | -62.59% |
| Mar 31, 2025 | -110.23% |
| Dec 31, 2024 | -139.17% |
| Sep 30, 2024 | -121.89% |
| Jun 30, 2024 | -81.07% |
| Mar 31, 2024 | -132.09% |
| Dec 31, 2023 | -84.46% |
| Sep 30, 2023 | -107.50% |
| Jun 30, 2023 | -120.05% |
| Mar 31, 2023 | -205.13% |
| Dec 31, 2022 | -156.04% |
| Sep 30, 2022 | -703.48% |
| Jun 30, 2022 | -423.85% |
| Mar 31, 2022 | -426.15% |
| Dec 31, 2021 | -2,592.77% |
| Sep 30, 2021 | -369.22% |
Rekor Systems Operating Margin 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=operating-margin&ticker=REKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();