Free Flow USA (FFLO) Retained Earnings (2011 - 2026)
Free Flow USA's Retained Earnings came in at -$1.71 million for Q2 2026, compared with -$1.51 million a year earlier.
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Analysis
Free Flow USA (FFLO) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Free Flow USA's Retained Earnings was -$1.51 million.
- Going back by year, Retained Earnings was -$2.16 million in FY2024, -$1.93 million in FY2023, $834,803 in FY2022 (+187.0%) and $290,905 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Retained Earnings since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 5.32 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 10.89 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -3.42 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 551.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -3.75 Bn |
| 10 | Free Flow USA | 7.44 Mn | 7.34 Mn | 3,900.00 | -1.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.71 Mn |
| Dec 31, 2025 | -1.51 Mn |
| Sep 30, 2025 | -1.56 Mn |
| Jun 30, 2025 | -1.51 Mn |
| Mar 31, 2025 | -1.51 Mn |
| Dec 31, 2024 | -2.16 Mn |
| Sep 30, 2024 | -2.16 Mn |
| Jun 30, 2024 | -2.16 Mn |
| Mar 31, 2024 | -2.16 Mn |
| Dec 31, 2023 | -1.93 Mn |
| Sep 30, 2023 | -1.93 Mn |
| Jun 30, 2023 | -1.93 Mn |
| Mar 31, 2023 | -1.93 Mn |
| Dec 31, 2022 | 834,803.00 |
| Dec 31, 2021 | 290,905.00 |
| Dec 31, 2020 | -559,705.00 |
| Sep 30, 2020 | -559,705.00 |
| Jun 30, 2020 | -559,705.00 |
| Mar 31, 2020 | -559,705.00 |
| Dec 31, 2019 | -559,705.00 |
API Access
Free Flow USA Retained Earnings 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=retained-earnings&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();