Free Flow USA (FFLO) Return on Sales [ROS] (2014 - 2026)
Free Flow USA (FFLO) reported Return on Sales [ROS] of -457.26% for Q2 2026, up 6651.37 percentage points from -7108.63% a year earlier.
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Analysis
Free Flow USA (FFLO) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Free Flow USA's Return on Sales [ROS] came in at -271.95%, up 6836.68 percentage points year-over-year; for FY2025, it came in at -339.45%, up 5713.46 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -301.86 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -6052.91% in FY2024 (+555.50 pp), -6608.41% in FY2023 (-6432.96 pp), -175.45% in FY2022 (-159.19 pp) and -16.25% in FY2021 (+21.33 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -12758.00% in Q1 2024 and a high of -0.01% in Q3 2021.
- Year over year, Return on Sales [ROS] gained in five of the last seven quarters, with an average year-over-year change of +2458.56 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 9510.80 percentage points); the low point was Q1 2024 (a drop of 10424.95 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 13.67% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 8.88% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 9.65% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 21.45% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 19.97% |
| 10 | Free Flow USA | 9.61 Mn | 9.56 Mn | 3,900.00 | -457.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -457.26% |
| Mar 31, 2026 | -263.86% |
| Dec 31, 2025 | -339.45% |
| Sep 30, 2025 | -87.34% |
| Jun 30, 2025 | -7,108.63% |
| Mar 31, 2025 | -3,454.94% |
| Dec 31, 2024 | -4,202.21% |
| Sep 30, 2024 | -9,598.14% |
| Jun 30, 2024 | -517.51% |
| Mar 31, 2024 | -12,758.00% |
| Dec 31, 2023 | -6,608.43% |
| Sep 30, 2023 | -1,664.99% |
| Jun 30, 2023 | -948.73% |
| Mar 31, 2023 | -2,333.05% |
| Dec 31, 2022 | -1,262.03% |
| Sep 30, 2022 | -62.21% |
| Jun 30, 2022 | -185.50% |
| Mar 31, 2022 | -100.60% |
| Dec 31, 2021 | -97.06% |
| Sep 30, 2021 | -0.01% |
API Access
Free Flow USA 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=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FFLO", "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=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();