Funko (FNKO) Net of Acquisitions & Divestments (2017 - 2023)
Funko (FNKO) recorded Net of Acquisitions & Divestments of -$5.36 million in FY2023, compared with -$19.48 million in FY2022.
Powered by 
Analysis
Funko (FNKO) Net of Acquisitions & Divestments (2017 - 2023) Analysis & Trends
Starting with FY2015, Funko's Net of Acquisitions & Divestments history includes 8 years.
- Annual Net of Acquisitions & Divestments has ranged from -$19.48 million in FY2022 to $199,000 in FY2021 over the past five years.
- Per Business Quant data, FNKO's Net of Acquisitions & Divestments was -$19.48 million in FY2022, $199,000 in FY2021 and -$6.37 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | - |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | - |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | - |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | - |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | - |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | - |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | - |
| 10 | Funko | 375.82 Mn | 217.06 Mn | 116.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -5.27 Mn |
| Mar 31, 2019 | -6.37 Mn |
| Mar 31, 2018 | -635,000.00 |
| Dec 31, 2017 | -3.21 Mn |
| Jun 30, 2017 | -15.89 Mn |
| Mar 31, 2017 | -12.55 Mn |
API Access
Funko Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=FNKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();