Rekor Systems (REKR) Amortizatization of Intangibles (2017 - 2026)
Rekor Systems' Amortizatization of Intangibles was $300,000 in Q2 2026, unchanged from $300,000 a year earlier and unchanged from the prior quarter.
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Analysis
Rekor Systems (REKR) Amortizatization of Intangibles (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rekor Systems' Amortizatization of Intangibles was $1.2 million through Jun 30, 2026, down 59.1% year-over-year; for FY2025, it was $1.2 million, down 74.3% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $4.68 million in FY2024 (+15.1%), $4.06 million in FY2023 (-0.1%), $4.06 million in FY2022 (+65.0%) and $2.46 million in FY2021 (+80.0%).
- Quarterly Amortizatization of Intangibles has moved between $300,000 (Q1 2025) and $1.17 million (Q1 2024) over five years.
- Compared with a year earlier, Amortizatization of Intangibles was higher in two of the last eight quarters, with an average decline of 32.8%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q1 2022 (growth of 140.3%); the worst was Q1 2025 (a decline of 74.4%).
- Per Business Quant data, REKR's Amortizatization of Intangibles in the three quarters before Q2 2026 was $300,000 (Q1 2026), $300,000 (Q4 2025) and $300,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 13.30 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | - |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | - |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | 300,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 300,000.00 |
| Dec 31, 2025 | 300,000.00 |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 300,000.00 |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 1.17 Mn |
| Jun 30, 2024 | 1.17 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | 969,000.00 |
| Sep 30, 2023 | 1.02 Mn |
| Jun 30, 2023 | 1.03 Mn |
| Mar 31, 2023 | 1.04 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 1.05 Mn |
| Jun 30, 2022 | 973,000.00 |
| Mar 31, 2022 | 983,000.00 |
| Dec 31, 2021 | 933,000.00 |
| Sep 30, 2021 | 713,000.00 |
API Access
Rekor Systems Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();