Lument Finance Trust, Inc. (LFT) Return on Sales [ROS] (2013 - 2026)
Analysis
Lument Finance Trust, Inc. (LFT) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,555.67% |
| Mar 31, 2026 | 5.16% |
| Dec 31, 2025 | -27.10% |
| Sep 30, 2025 | 37.05% |
| Jun 30, 2025 | 53.77% |
| Mar 31, 2025 | -23.97% |
| Dec 31, 2024 | 62.89% |
| Sep 30, 2024 | 68.00% |
| Jun 30, 2024 | 304.02% |
| Mar 31, 2024 | 252.30% |
| Dec 31, 2023 | 353.69% |
| Sep 30, 2023 | 311.87% |
| Jun 30, 2023 | 238.11% |
| Mar 31, 2023 | 221.57% |
| Dec 31, 2022 | 281.93% |
| Sep 30, 2022 | 235.68% |
| Jun 30, 2022 | 138.29% |
| Mar 31, 2022 | 130.58% |
| Dec 31, 2021 | 122.57% |
| Sep 30, 2021 | 128.40% |
API Access
Lument Finance Trust, 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=LFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LFT", "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=LFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();