Rekor Systems (REKR) Total Liabilities (2016 - 2026)
Rekor Systems (REKR) posted Total Liabilities of $40.2 million for Q2 2026, down 10.0% from $44.67 million a year earlier and down 8.7% from the prior quarter.
Powered by 
Analysis
Rekor Systems (REKR) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Rekor Systems' Total Liabilities came in at $42.52 million, down 12.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- In prior years, Rekor Systems' Total Liabilities was $48.33 million in FY2024 (-17.8%), $58.78 million in FY2023 (+70.4%), $34.5 million in FY2022 (+39.2%) and $24.79 million in FY2021 (+63.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last seven quarters, with an average decline of 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 300.8%; the weakest was Q3 2025, with a decline of 26.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $44.03 million (Q1 2026), $42.52 million (Q4 2025) and $44.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Rekor Systems | 53.68 Mn | 12.01 Mn | 7.11 Mn | 40.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.20 Mn |
| Mar 31, 2026 | 44.03 Mn |
| Dec 31, 2025 | 42.52 Mn |
| Sep 30, 2025 | 44.50 Mn |
| Jun 30, 2025 | 44.67 Mn |
| Mar 31, 2025 | 46.44 Mn |
| Dec 31, 2024 | 48.33 Mn |
| Sep 30, 2024 | 60.86 Mn |
| Jun 30, 2024 | 51.72 Mn |
| Mar 31, 2024 | 53.83 Mn |
| Dec 31, 2023 | 58.78 Mn |
| Sep 30, 2023 | 44.58 Mn |
| Jun 30, 2023 | 41.99 Mn |
| Mar 31, 2023 | 41.79 Mn |
| Dec 31, 2022 | 34.50 Mn |
| Sep 30, 2022 | 38.16 Mn |
| Jun 30, 2022 | 37.64 Mn |
| Mar 31, 2022 | 26.65 Mn |
| Dec 31, 2021 | 24.79 Mn |
| Sep 30, 2021 | 25.90 Mn |
API Access
Rekor Systems Total 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-liabilities&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();