Rekor Systems (REKR) Other Operating Expenses (2018 - 2026)
Rekor Systems (REKR) recorded Other Operating Expenses of -$695,000 in Q2 2026, compared with $3.26 million a year earlier.
Rekor Systems (REKR) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Rekor Systems' Other Operating Expenses came in at $11.29 million as of Jun 30, 2026, down 54.9% year-over-year; for FY2025, it was $16.18 million, down 41.3% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 31.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $27.57 million in FY2024 (+80.9%), $15.24 million in FY2023 (-69.3%), $49.59 million in FY2022 (+555.7%) and $7.56 million in FY2021 (+84.4%).
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses in data going back to Q2 2018.
- On a year-over-year basis, Other Operating Expenses rose in two of the last seven quarters, with growth averaging 17.8%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 269.9% in Q4 2024, against a decline of 91.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.38 million (Q1 2026), $6.6 million (Q4 2025) and $3.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -695,000.00 |
| Mar 31, 2026 | 2.38 Mn |
| Dec 31, 2025 | 6.60 Mn |
| Sep 30, 2025 | 3.01 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 3.31 Mn |
| Dec 31, 2024 | 14.33 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | 4.37 Mn |
| Mar 31, 2024 | 4.75 Mn |
| Dec 31, 2023 | 3.88 Mn |
| Sep 30, 2023 | 3.46 Mn |
| Jun 30, 2023 | 4.06 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Sep 30, 2022 | 39.12 Mn |
| Jun 30, 2022 | 4.13 Mn |
| Mar 31, 2022 | 2.72 Mn |
| Dec 31, 2021 | 2.35 Mn |
| Sep 30, 2021 | 2.06 Mn |
Rekor Systems Other Operating Expenses 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=other-operating-expenses&ticker=REKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();