Kraig Biocraft Laboratories (KBLB) Return on Sales [ROS] (2016 - 2019)
Kraig Biocraft Laboratories (KBLB) recorded Return on Sales [ROS] of -6898905.00% in FY2021.
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Analysis
Kraig Biocraft Laboratories (KBLB) Return on Sales [ROS] (2016 - 2019) Analysis & Trends
Starting with FY2016, Kraig Biocraft Laboratories' Return on Sales [ROS] history includes 4 years.
- Annual Return on Sales [ROS] has a five-year change of -6889658.96 percentage points (FY2016 to FY2021).
- The FY2021 figure is the highest annual Return on Sales [ROS] since FY2018.
- Per Business Quant data, KBLB's Return on Sales [ROS] was -239.02% in FY2018 (+1976.39 pp) and -2215.41% in FY2017 (+7030.63 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Kraig Biocraft Laboratories | 111.53 Mn | 111.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -943.24% |
| Mar 31, 2019 | -390.93% |
| Dec 31, 2018 | -239.02% |
| Sep 30, 2018 | -105.11% |
| Jun 30, 2018 | -100.46% |
| Mar 31, 2018 | -208.56% |
| Dec 31, 2017 | -358.18% |
| Sep 30, 2017 | -861.14% |
| Jun 30, 2017 | -11,417.75% |
| Mar 31, 2017 | -9,172.36% |
| Dec 31, 2016 | -6,657.79% |
| Sep 30, 2016 | -5,832.64% |
API Access
Kraig Biocraft Laboratories 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=KBLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KBLB", "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=KBLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();