Rekor Systems (REKR) Depreciation and Depletion (2017 - 2026)
Rekor Systems (REKR) posted Depreciation and Depletion of $284,000 for Q2 2026, down 5.6% from $301,000 a year earlier and down 66.8% from the prior quarter.
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Analysis
Rekor Systems (REKR) Depreciation and Depletion (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Rekor Systems was $2.44 million, down 1.9% year-over-year; for FY2025, it came in at $3.84 million, down 1.1% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 58.6% (FY2020 to FY2025).
- In prior years, Rekor Systems' Depreciation and Depletion was $3.88 million in FY2024 (+10.3%), $3.52 million in FY2023 (+49.1%), $2.36 million in FY2022 (+276.8%) and $626,000 in FY2021 (+63.9%).
- The Q2 2026 figure stands as the lowest quarterly Depreciation and Depletion since Q3 2024.
- On a year-over-year basis, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 22.9%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2024, with growth of 800.0%; the weakest was Q3 2021, with a decline of 14.1%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $856,000 (Q1 2026), $987,000 (Q4 2025) and $308,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | - |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 26.40 Mn |
| 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 | 993,000.00 |
| 10 | Rekor Systems | 50.93 Mn | 9.26 Mn | 7.11 Mn | 284,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284,000.00 |
| Mar 31, 2026 | 856,000.00 |
| Dec 31, 2025 | 987,000.00 |
| Sep 30, 2025 | 308,000.00 |
| Jun 30, 2025 | 301,000.00 |
| Mar 31, 2025 | 951,000.00 |
| Dec 31, 2024 | 963,000.00 |
| Sep 30, 2024 | 266,000.00 |
| Jun 30, 2024 | 198,000.00 |
| Mar 31, 2024 | 974,000.00 |
| Dec 31, 2023 | 829,000.00 |
| Sep 30, 2023 | 124,000.00 |
| Jun 30, 2023 | 22,000.00 |
| Mar 31, 2023 | 914,000.00 |
| Dec 31, 2022 | 883,000.00 |
| Mar 31, 2022 | 282,000.00 |
| Dec 31, 2021 | 195,000.00 |
| Sep 30, 2021 | 159,000.00 |
| Jun 30, 2021 | 141,000.00 |
| Mar 31, 2021 | 131,000.00 |
API Access
Rekor Systems Depreciation and Depletion 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=depreciation-and-depletion&ticker=REKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=REKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();