Rekor Systems (REKR) Return on Capital Employed [ROCE] (2017 - 2026)
Rekor Systems (REKR) recorded Return on Capital Employed [ROCE] of -41.96% in Q2 2026, up 34.07 percentage points from -76.03% a year earlier and up 10.56 percentage points from the prior quarter.
Powered by 
Analysis
Rekor Systems (REKR) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Rekor Systems reported Return on Capital Employed [ROCE] of -52.67%, up 25.96 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -11.50 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -78.63% in FY2024 (-19.11 pp), -59.52% in FY2023 (+36.42 pp), -95.94% in FY2022 (-50.02 pp) and -45.92% in FY2021 (-4.75 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q1 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +1.85 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 62.16 percentage points in Q1 2024, against a drop of 90.07 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -52.52% (Q1 2026), -53.40% (Q4 2025) and -62.01% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | -41.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.96% |
| Mar 31, 2026 | -52.52% |
| Dec 31, 2025 | -53.40% |
| Sep 30, 2025 | -62.01% |
| Jun 30, 2025 | -76.03% |
| Mar 31, 2025 | -80.22% |
| Dec 31, 2024 | -73.80% |
| Sep 30, 2024 | -65.56% |
| Jun 30, 2024 | -51.94% |
| Mar 31, 2024 | -53.53% |
| Dec 31, 2023 | -57.76% |
| Sep 30, 2023 | -61.44% |
| Jun 30, 2023 | -108.74% |
| Mar 31, 2023 | -115.69% |
| Dec 31, 2022 | -117.64% |
| Sep 30, 2022 | -91.62% |
| Jun 30, 2022 | -45.37% |
| Mar 31, 2022 | -35.15% |
| Dec 31, 2021 | -27.58% |
| Sep 30, 2021 | -21.92% |
API Access
Rekor Systems Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();