Cyberloq Technologies (CLOQ) Return on Sales [ROS] (2011 - 2024)
Cyberloq Technologies' Return on Sales [ROS] came in at -5019.53% for Q4 2024, down 4381.89 percentage points from -637.65% a year earlier and down 3025.98 percentage points from the prior quarter.
Cyberloq Technologies (CLOQ) Return on Sales [ROS] (2011 - 2024) Analysis & Trends
Going back to Q1 2011, Cyberloq Technologies' Return on Sales [ROS] data covers 45 quarters.
- Return on Sales [ROS] carries a five-year change of -4344.17 percentage points (FY2019 to FY2024).
- Going back by year, Return on Sales [ROS] was -2296.32% in FY2023 (+23249.81 pp), -25546.13% in FY2022 (+512765.04 pp), -538311.17% in FY2021 (-533995.35 pp) and -4315.82% in FY2020 (-3640.46 pp).
- The Q4 2024 figure represents the lowest quarterly Return on Sales [ROS] since Q3 2023.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +16396.02 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 1511406.63 percentage points), and the weakest in Q4 2020 (a drop of 1581873.28 percentage points).
- Business Quant data shows CLOQ's Return on Sales [ROS] at -1993.56% (Q3 2024), -1783.75% (Q2 2024) and -1306.90% (Q1 2024) in the three quarters before Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Cyberloq Technologies | 18.37 Mn | 17.95 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -5,019.53% |
| Sep 30, 2024 | -1,993.56% |
| Jun 30, 2024 | -1,783.75% |
| Mar 31, 2024 | -1,306.90% |
| Dec 31, 2023 | -637.65% |
| Sep 30, 2023 | -65,441.77% |
| Jun 30, 2023 | -18,015.84% |
| Mar 31, 2023 | -9,739.58% |
| Dec 31, 2022 | -25,546.09% |
| Sep 30, 2022 | -6,594.24% |
| Jun 30, 2022 | -17,159.87% |
| Mar 31, 2022 | -91,971.67% |
| Dec 31, 2021 | -71,239.80% |
| Sep 30, 2021 | -29,172.64% |
| Jun 30, 2021 | -21,059.21% |
| Mar 31, 2021 | -31,088.00% |
| Dec 31, 2020 | -1,582,646.43% |
| Sep 30, 2020 | -4,894.62% |
| Jun 30, 2020 | -1,366.37% |
| Mar 31, 2020 | -1,503.66% |
Cyberloq Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();