Rekor Systems (REKR) Return on Sales [ROS] (2016 - 2026)
Rekor Systems (REKR) reported Return on Sales [ROS] of 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.
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Analysis
Rekor Systems (REKR) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rekor Systems' Return on Sales [ROS] came in at -39.36%, up 69.07 percentage points year-over-year; for FY2025, it was -59.62%, up 58.40 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +68.69 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -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 ranks as the highest quarterly Return on Sales [ROS] in data going back to Q3 2016.
- Year over year, Return on Sales [ROS] has now increased in each of the last six quarters, with an average year-over-year change of +29.69 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 2436.73 percentage points); the low point was Q4 2021 (a drop of 2483.45 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -85.91% (Q1 2026), -55.47% (Q4 2025) and -27.97% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | 1.75% |
Historic Data
Download Data
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% |
API Access
Rekor Systems Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();