Rekor Systems (REKR) Property, Plant & Equipment (Net) (2016 - 2026)
Rekor Systems' Property, Plant & Equipment (Net) came in at $7.4 million for Q2 2026, down 24.2% from $9.75 million a year earlier and down 9.3% from the prior quarter.
Rekor Systems (REKR) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Rekor Systems' Property, Plant & Equipment (Net) was $8.63 million, down 21.9% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, though with a five-year compound annual growth rate of 52.5% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $11.05 million in FY2024 (-16.2%), $13.19 million in FY2023 (-21.2%), $16.73 million in FY2022 (+71.8%) and $9.74 million in FY2021 (+830.4%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q2 2021.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 13 consecutive quarters, with an average decline of 20.6% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2022 (growth of 944.2%), and the weakest in Q2 2025 (a decline of 26.2%).
- Business Quant data shows REKR's Property, Plant & Equipment (Net) at $8.16 million (Q1 2026), $8.63 million (Q4 2025) and $10.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | 7.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.40 Mn |
| Mar 31, 2026 | 8.16 Mn |
| Dec 31, 2025 | 8.63 Mn |
| Sep 30, 2025 | 10.19 Mn |
| Jun 30, 2025 | 9.75 Mn |
| Mar 31, 2025 | 10.42 Mn |
| Dec 31, 2024 | 11.05 Mn |
| Sep 30, 2024 | 12.69 Mn |
| Jun 30, 2024 | 13.21 Mn |
| Mar 31, 2024 | 13.88 Mn |
| Dec 31, 2023 | 13.19 Mn |
| Sep 30, 2023 | 14.08 Mn |
| Jun 30, 2023 | 14.97 Mn |
| Mar 31, 2023 | 16.01 Mn |
| Dec 31, 2022 | 16.73 Mn |
| Sep 30, 2022 | 16.67 Mn |
| Jun 30, 2022 | 16.33 Mn |
| Mar 31, 2022 | 10.17 Mn |
| Dec 31, 2021 | 9.74 Mn |
| Sep 30, 2021 | 8.61 Mn |
Rekor Systems Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=REKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();