Free Flow USA (FFLO) Non-Current Assets (2011 - 2024)
Free Flow USA's Non-Current Assets was $2.00 in Q1 2024, down 100.0% from $541,881 a year earlier and down 100.0% from the prior quarter.
Analysis
Free Flow USA (FFLO) Non-Current Assets (2011 - 2024) Analysis & Trends
At the end of FY2023, Non-Current Assets at Free Flow USA came in at $500,377, down 7.7% from FY2022.
- Non-Current Assets has now declined for three consecutive years, though with a five-year compound annual growth rate of 76.7% (FY2018 to FY2023).
- In earlier years, Non-Current Assets was $541,882 in FY2022 (-64.9%), $1.55 million in FY2021 (-3.2%), $1.6 million in FY2020 and $24,673 in FY2019 (-14.9%).
- The Q1 2024 figure marks the lowest quarterly Non-Current Assets in data going back to Q1 2012.
- Compared with a year earlier, Non-Current Assets has declined for ten straight quarters, with an average decline of 41.0% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2021 (growth of 124.8%); the worst was Q1 2024 (a decline of 100.0%).
- Per Business Quant data, FFLO's Non-Current Assets in the three quarters before Q1 2024 was $500,377 (Q4 2023), $542,881 (Q3 2023) and $541,882 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Free Flow USA | 7.44 Mn | 7.34 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 2.00 |
| Dec 31, 2023 | 500,377.00 |
| Sep 30, 2023 | 542,881.00 |
| Jun 30, 2023 | 541,882.00 |
| Mar 31, 2023 | 541,881.00 |
| Dec 31, 2022 | 541,882.00 |
| Sep 30, 2022 | 604,317.00 |
| Jun 30, 2022 | 604,317.00 |
| Mar 31, 2022 | 606,000.00 |
| Dec 31, 2021 | 1.55 Mn |
| Sep 30, 2021 | 1.60 Mn |
| Jun 30, 2021 | 1.60 Mn |
| Mar 31, 2021 | 1.60 Mn |
| Dec 31, 2020 | 1.60 Mn |
| Sep 30, 2020 | 716,196.00 |
| Jun 30, 2020 | 713,596.00 |
| Mar 31, 2020 | 711,147.00 |
| Dec 31, 2019 | 24,673.00 |
| Sep 30, 2019 | 745,803.00 |
| Jun 30, 2019 | 773,622.00 |
API Access
Free Flow USA Non-Current Assets 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=non-current-assets&ticker=FFLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();