Rekor Systems (REKR) Total Non-Current Liabilities (2016 - 2026)
Rekor Systems' Total Non-Current Liabilities was $10.52 million in Q2 2026, down 64.3% from $29.45 million a year earlier and down 27.9% from the prior quarter.
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Analysis
Rekor Systems (REKR) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Rekor Systems came in at $13.43 million, down 55.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $30.11 million in FY2024 (-27.5%), $41.55 million in FY2023 (+118.0%), $19.06 million in FY2022 (+73.7%) and $10.97 million in FY2021 (+318.1%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for seven straight quarters, with an average decline of 25.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2022 (growth of 945.6%); the worst was Q2 2026 (a decline of 64.3%).
- Per Business Quant data, REKR's Total Non-Current Liabilities in the three quarters before Q2 2026 was $14.58 million (Q1 2026), $13.43 million (Q4 2025) and $28.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | 10.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.52 Mn |
| Mar 31, 2026 | 14.58 Mn |
| Dec 31, 2025 | 13.43 Mn |
| Sep 30, 2025 | 28.99 Mn |
| Jun 30, 2025 | 29.45 Mn |
| Mar 31, 2025 | 29.56 Mn |
| Dec 31, 2024 | 30.11 Mn |
| Sep 30, 2024 | 30.26 Mn |
| Jun 30, 2024 | 30.57 Mn |
| Mar 31, 2024 | 31.87 Mn |
| Dec 31, 2023 | 41.55 Mn |
| Sep 30, 2023 | 28.30 Mn |
| Jun 30, 2023 | 27.40 Mn |
| Mar 31, 2023 | 27.44 Mn |
| Dec 31, 2022 | 19.06 Mn |
| Sep 30, 2022 | 19.23 Mn |
| Jun 30, 2022 | 19.73 Mn |
| Mar 31, 2022 | 15.20 Mn |
| Dec 31, 2021 | 10.97 Mn |
| Sep 30, 2021 | 11.05 Mn |
API Access
Rekor Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();