Funko (FNKO) Dividend Coverage Ratio (2017 - 2023)
Funko's (FNKO) Dividend Coverage Ratio was -1347.75 for Q4 2023, compared with -207.98 a year earlier.
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Analysis
Funko (FNKO) Dividend Coverage Ratio (2017 - 2023) Analysis & Trends
For FY2023, Dividend Coverage Ratio at Funko was -137.84.
- By year, Dividend Coverage Ratio came in at -0.75 in FY2022, 4.73 in FY2021 (+327.1%), 1.11 in FY2020 (+126.1%) and 0.49 in FY2019 (+34.2%).
- Five-year quarterly Dividend Coverage Ratio spans a low of -2144.14 in Q3 2023 and a high of 1667.43 in Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | - |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 8.38 |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | - |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | - |
| 10 | Funko | 305.76 Mn | 149.75 Mn | 117.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -1,347.75 |
| Sep 30, 2023 | -2,144.14 |
| Jun 30, 2023 | -66.18 |
| Dec 31, 2022 | -207.98 |
| Sep 30, 2022 | 34.03 |
| Jun 30, 2022 | 2.15 |
| Mar 31, 2022 | 2.90 |
| Dec 31, 2021 | 1,667.43 |
| Sep 30, 2021 | 5.02 |
| Jun 30, 2021 | 3.09 |
| Mar 31, 2021 | 2.66 |
| Dec 31, 2020 | 112.35 |
| Sep 30, 2020 | 11.93 |
| Mar 31, 2020 | -1.54 |
| Dec 31, 2019 | -4.17 |
| Sep 30, 2019 | 1.81 |
| Jun 30, 2019 | 0.51 |
| Mar 31, 2019 | 0.27 |
| Sep 30, 2018 | 1.01 |
| Jun 30, 2018 | 0.01 |
API Access
Funko Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=FNKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "ticker": "FNKO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividend-coverage-ratio&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();