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BurgerFi International Financial Ratios 2024-2011 | BFI
Brief overview of BurgerFi International's market valuation
Current figures are compared with the company's own five-year history for 2019–2024.
Key multiples at the end of the period are P/E 48.51x (median 34.66x), P/S 0.08x (median 1.2x), P/B 0.22x (median 0.54x). Valuation is roughly 58.9% below five-year reference levels. The discount may reflect opportunity or higher perceived risk.
The inverse P/E implies an earnings yield of 2.1%. This is not a dividend yield, but current earnings relative to market price.
Capital efficiency is characterized by ROE -53.6%, ROA -11.9%, ROCE -38.5%. Returns below zero mean resources are not producing positive profit. Recovery in operating results is the main reference point.
The cash conversion cycle shortened from -25.5 days to -43.8 days, or 18.3 days. Working capital returns faster.
Valuation takeaway
BurgerFi International's multiples look low against history, but fundamental returns do not yet provide convincing support.
Annual Financial Ratios BurgerFi International
| 2024 | 2023 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P/E |
-0.4 | -0.3 | -0.8 | 48.5 | 13.7 | 34.7 | - | - | - | - | - | - | - |
P/S |
0.1 | 0.2 | 1.4 | 153.8 | 1.2 | - | - | - | - | - | - | - | - |
EPS |
-1.2 | -4.7 | -6.6 | 0.3 | -0.1 | -0.2 | - | - | - | - | - | - | - |
EV (Enterprise Value) |
206 M | 215 M | 224 M | 252 M | 50.4 M | 35.5 M | 119 K | - | - | - | - | - | - |
EBITDA per Share |
-0.35 | -3.74 | -6.82 | -0.06 | 1.02 | -0.16 | - | - | - | - | - | - | - |
EV/EBITDA |
-23.2 | -2.6 | -1.8 | -239.9 | 13.0 | -64.1 | -101.5 | - | - | - | - | - | - |
PEG |
- | - | - | 85.75 | - | - | - | - | - | - | - | - | - |
P/B |
0.2 | 0.4 | 0.5 | 1.0 | 16.0 | 0.3 | - | - | - | - | - | - | - |
P/CF |
-2.4 | 13.3 | -12.6 | -276.6 | 15.9 | -54.5 | - | - | - | - | - | - | - |
ROE % |
-53.64 | -131.01 | -70.12 | 2.06 | 58.70 | 20.43 | -4.94 | - | - | - | - | - | - |
ROA % |
-11.88 | -37.37 | -38.24 | 1.85 | 20.41 | 0.87 | -0.71 | - | - | - | - | - | - |
ROCE % |
-38.49 | -126.65 | -78.28 | -0.50 | 48.01 | -11.07 | -4.94 | - | - | - | - | - | - |
Current Ratio |
1.3 | 1.4 | 2.2 | 9.6 | 1.2 | 435.3 | 1.2 | - | - | - | - | - | - |
DSO |
3.5 | 2.0 | 6.4 | 133.6 | 2.8 | - | - | - | - | - | - | - | - |
DIO |
9.1 | 4.8 | 18.6 | 310.4 | 6.3 | - | - | - | - | - | - | - | - |
DPO |
56.5 | 31.0 | 106.8 | 1766.8 | 34.6 | - | - | - | - | - | - | - | - |
Operating Cycle |
12.6 | 6.8 | 24.9 | 444.0 | 9.2 | - | - | - | - | - | - | - | - |
Cash Conversion Cycle |
-43.8 | -24.2 | -81.8 | -1322.8 | -25.5 | - | - | - | - | - | - | - | - |
All numbers in USD currency
Quarterly Financial Ratios BurgerFi International
| 2024-Q1 | 2023-Q4 | 2023-Q3 | 2023-Q2 | 2023-Q1 | 2022-Q4 | 2022-Q3 | 2022-Q2 | 2022-Q1 | 2021-Q4 | 2021-Q3 | 2021-Q2 | 2021-Q1 | 2020-Q4 | 2020-Q3 | 2020-Q2 | 2020-Q1 | 2019-Q4 | 2019-Q3 | 2019-Q2 | 2019-Q1 | 2018-Q4 | 2018-Q3 | 2018-Q2 | 2018-Q1 | 2017-Q4 | 2017-Q3 | 2017-Q2 | 2017-Q1 | 2016-Q4 | 2016-Q3 | 2016-Q2 | 2016-Q1 | 2015-Q4 | 2015-Q3 | 2015-Q2 | 2015-Q1 | 2014-Q4 | 2014-Q3 | 2014-Q2 | 2014-Q1 | 2013-Q4 | 2013-Q3 | 2013-Q2 | 2013-Q1 | 2012-Q4 | 2012-Q3 | 2012-Q2 | 2012-Q1 | 2011-Q4 | 2011-Q3 | 2011-Q2 | 2011-Q1 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
EPS |
-0.24 | - | -0.19 | -0.24 | -0.39 | - | -0.15 | -2.72 | -0.62 | - | -0.28 | 0.5 | -0.46 | 0.3 | -0.08 | -0.05 | -0.06 | - | -0.02 | -0.04 | -0.03 | - | -0.04 | - | -0.01 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
EBITDA per Share |
-0.04 | - | 0.01 | -0.01 | -0.16 | - | 0.4 | -2.3 | -0.3 | - | -0.07 | -0.08 | -0.03 | -0.06 | 0.11 | 0.07 | -0.03 | - | -0.04 | -0.06 | -0.05 | - | -0.05 | -0.04 | -0.03 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ROE % |
-40.57 | -27.90 | -31.10 | -80.44 | -80.32 | -68.03 | -69.95 | -63.33 | -9.93 | -1.76 | 0.30 | -4.65 | -11.91 | -8.96 | -4.29 | 8.27 | 19.71 | 20.02 | 25.56 | 24.96 | 19.72 | 12.11 | 7.33 | 6.13 | 0.45 | - | -4.79 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ROA % |
-10.08 | -7.49 | -8.59 | -26.39 | -27.84 | -24.46 | -26.24 | -22.00 | -5.20 | -1.52 | 0.33 | 1.40 | -2.13 | 0.72 | -0.78 | 0.16 | 0.88 | 0.91 | 1.15 | 1.06 | 0.84 | 0.52 | -0.17 | 0.26 | 0.02 | - | -0.69 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ROCE % |
-26.84 | -18.69 | -22.95 | -75.02 | -76.88 | -67.48 | -70.44 | -68.35 | -12.83 | -6.19 | -6.73 | -11.00 | -13.18 | -18.99 | -21.60 | -19.03 | -18.31 | -11.44 | -15.53 | -15.11 | -11.83 | -8.21 | -12.99 | -2.73 | -1.39 | - | -4.79 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Current Ratio |
1.3 | 1.3 | 1.3 | 1.4 | 1.4 | 1.4 | 1.5 | 1.5 | 1.8 | 2.2 | 13.9 | 12.4 | 8.6 | 9.6 | 14.0 | 15.4 | 17.6 | 1.2 | 154.0 | 242.4 | 328.1 | 435.3 | 434.2 | 432.6 | 430.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
DSO |
2.9 | - | 3.1 | 3.6 | 3.9 | - | 2.9 | 2.8 | 3.1 | - | 4.5 | 4.8 | 5.8 | 38.8 | 7.4 | 9.2 | 6.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
DIO |
8.2 | - | 10.8 | 10.4 | 9.6 | - | 10.0 | 10.3 | 10.2 | - | 12.0 | 9.6 | 10.0 | 80.4 | 13.2 | 18.2 | 12.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
DPO |
40.1 | - | 61.4 | 59.4 | 59.6 | - | 72.1 | 66.3 | 56.9 | - | 91.8 | 104.0 | 87.0 | 297.6 | 14.3 | 17.7 | 36.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Operating Cycle |
11.1 | - | 13.9 | 14.0 | 13.4 | - | 12.9 | 13.1 | 13.4 | - | 16.4 | 14.2 | 16.3 | 119.3 | 20.6 | 27.4 | 19.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Cash Conversion Cycle |
-29.0 | - | -47.4 | -45.4 | -46.1 | - | -59.2 | -53.2 | -43.5 | - | -74.7 | -87.2 | -74.2 | -384.4 | -62.2 | -86.7 | -51.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
All numbers in USD currency
Multiples are an important financial analysis tool for the company BurgerFi International, allowing investors and analysts to quickly assess the company’s value and investment attractiveness based on the ratio of market indicators to the company’s financial performance. Essentially, multiples express how the market values the company relative to its earnings, revenue, equity, or other key metrics.
Advantages of Using Financial Ratios- Simplified Data Analysis
Financial ratios transform large volumes of accounting data into compact and easily interpretable indicators, significantly simplifying the assessment of the company’s condition. - Comparability Between Companies
Multiples standardize financial metrics, enabling objective comparison of companies of different sizes, industries, and market capitalizations. - Identification of Trends and Issues
Regular analysis of ratios helps track the dynamics of financial health, identify strengths and weaknesses of the business, as well as potential risks. - Decision Support
Financial multiples serve as an important tool for investors, creditors, and company management in making investment, credit, and managerial decisions. - Accelerated Assessment of Investment Attractiveness
Ratios allow quick determination of key performance, liquidity, and financial stability indicators, facilitating prompt evaluation of companies’ attractiveness for investments.
Using multiples enables comparison between companies, even if they differ in size or industry, as they standardize financial data into ratios convenient for analysis. This is especially useful for evaluating companies where direct analysis of financial statements may be complex or require in-depth knowledge.