Lite Strategy (LITS) Return on Sales [ROS] (2016 - 2024)
Lite Strategy's Return on Sales [ROS] came in at 22.27% for fiscal Q4 2024 (quarter ended Jun 30, 2024), up 782.74 percentage points from -760.47% a year earlier but down 11.35 percentage points from the prior quarter.
Lite Strategy (LITS) Return on Sales [ROS] (2016 - 2024) Analysis & Trends
Going back to fiscal Q1 2017, Lite Strategy's Return on Sales [ROS] data covers 32 quarters.
- Return on Sales [ROS] carries a five-year change of +963.17 percentage points (FY2019 to FY2024).
- Going back by fiscal year, Return on Sales [ROS] was -75.31% in FY2023 (+110.17 pp), -185.48% in FY2022 (-11.83 pp), -173.65% in FY2021 (-81.07 pp) and -92.58% in FY2020 (+848.31 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1201.29% (fiscal Q2 2020) to 84.66% (fiscal Q1 2024).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +116.85 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2020 (a gain of 1085.57 percentage points), and the weakest in fiscal Q2 2020 (a drop of 623.06 percentage points).
- Business Quant data shows LITS's Return on Sales [ROS] at 33.62% (Q3 2024), 21.86% (Q2 2024) and 84.66% (Q1 2024) in the three fiscal quarters before Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 28.37% |
| 10 | Lite Strategy | 38.56 Mn | 6.44 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 22.27% |
| Mar 31, 2024 | 33.62% |
| Dec 31, 2023 | 21.86% |
| Sep 30, 2023 | 84.66% |
| Jun 30, 2023 | -760.47% |
| Mar 31, 2023 | -278.10% |
| Dec 31, 2022 | 27.27% |
| Sep 30, 2022 | -208.69% |
| Jun 30, 2022 | -141.90% |
| Mar 31, 2022 | -222.38% |
| Dec 31, 2021 | -148.96% |
| Sep 30, 2021 | -259.19% |
| Jun 30, 2021 | -207.59% |
| Mar 31, 2021 | -202.18% |
| Dec 31, 2020 | -125.23% |
| Sep 30, 2020 | -192.56% |
| Jun 30, 2020 | 45.00% |
| Mar 31, 2020 | -1,000.24% |
| Dec 31, 2019 | -1,201.29% |
| Sep 30, 2019 | -1,091.01% |
Lite Strategy 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=LITS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LITS", "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=LITS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();