Landbay Inc (LNBY) Return on Sales [ROS] (2019 - 2025)
Landbay (LNBY) reported Return on Sales [ROS] of 7.83% for fiscal Q1 2026 (quarter ended Jun 30, 2025), up 3.93 percentage points from the prior quarter.
Landbay Inc (LNBY) Return on Sales [ROS] (2019 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Landbay's Return on Sales [ROS] came in at 1.52%; for FY2025 (ended Mar 31, 2025), it was -8.88%, up 422.19 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +61.15 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at -431.06% in FY2024 (-223.73 pp), -207.33% in FY2023 (+274.16 pp), -481.50% in FY2022 (+4975.74 pp) and -5457.24% in FY2021 (-5387.21 pp).
- The fiscal Q1 2026 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q2 2020.
- Year over year, Return on Sales [ROS] gained in three of the last six quarters, with an average year-over-year change of +28.98 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2023 (a gain of 9659.62 percentage points); the low point was fiscal Q3 2022 (a drop of 7993.06 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at 3.90% (Q4 2025), -4.93% (Q3 2025) and -395.53% (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 7.83% |
| Mar 31, 2025 | 3.90% |
| Dec 31, 2024 | -4.93% |
| Sep 30, 2024 | -395.53% |
| Mar 31, 2024 | -167.22% |
| Dec 31, 2023 | -702.00% |
| Sep 30, 2023 | -245.09% |
| Mar 31, 2023 | -200.45% |
| Dec 31, 2022 | -127.58% |
| Sep 30, 2022 | -242.40% |
| Jun 30, 2022 | -184.61% |
| Mar 31, 2022 | -85.91% |
| Dec 31, 2021 | -9,787.20% |
| Sep 30, 2021 | -747.33% |
| Mar 31, 2021 | -4,594.50% |
| Dec 31, 2020 | -1,794.14% |
| Sep 30, 2020 | -412.42% |
| Mar 31, 2020 | -3,666.74% |
| Dec 31, 2019 | -77.96% |
| Sep 30, 2019 | 53.71% |
Landbay Inc 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=LNBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LNBY", "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=LNBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();