Cyberloq Technologies (CLOQ) Depreciation and Depletion (2017 - 2020)
Cyberloq Technologies (CLOQ) posted Depreciation and Depletion of $30,669 for Q4 2020, unchanged from $30,669 a year earlier and down 2.1% from the prior quarter.
Cyberloq Technologies (CLOQ) Depreciation and Depletion (2017 - 2020) Analysis & Trends
For FY2020, Cyberloq Technologies' Depreciation and Depletion came in at $122,675, up 0.5% from FY2019.
- Annual Depreciation and Depletion has increased for three consecutive years, with a three-year compound annual growth rate of 34.9% (FY2017 to FY2020).
- In prior years, Cyberloq Technologies' Depreciation and Depletion was $122,019 in FY2019 (+1.6%), $120,050 in FY2018 (+140.0%) and $50,022 in FY2017.
- Quarterly Depreciation and Depletion has run from a low of $30,000 in Q2 2020 to a high of $31,338 in Q3 2020 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2020, with growth of 2.2%; the weakest was Q2 2020, with a decline of 2.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $31,338 (Q3 2020), $30,000 (Q2 2020) and $30,669 (Q1 2020).
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 | Cyberloq Technologies | 18.37 Mn | 17.95 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 30,669.00 |
| Sep 30, 2020 | 31,338.00 |
| Jun 30, 2020 | 30,000.00 |
| Mar 31, 2020 | 30,669.00 |
| Dec 31, 2019 | 30,669.00 |
| Sep 30, 2019 | 30,669.00 |
| Jun 30, 2019 | 30,669.00 |
| Mar 31, 2019 | 30,012.00 |
| Dec 31, 2018 | 30,013.00 |
| Sep 30, 2018 | 30,012.00 |
| Jun 30, 2018 | 30,013.00 |
| Mar 31, 2018 | 30,013.00 |
| Dec 31, 2017 | 30,014.00 |
Cyberloq Technologies 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=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CLOQ", "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=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();