Funko (FNKO) Cash & Equivalents (2016 - 2026)
Funko (FNKO) posted Cash & Equivalents of $40.71 million for Q2 2026, down 17.2% from $49.15 million a year earlier but up 18.7% from the prior quarter.
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Analysis
Funko (FNKO) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Funko's Cash & Equivalents came in at $42.15 million, up 21.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In prior years, Funko's Cash & Equivalents was $34.66 million in FY2024 (-4.9%), $36.45 million in FY2023 (+89.9%), $19.2 million in FY2022 (-77.0%) and $83.56 million in FY2021 (+59.9%).
- Quarterly Cash & Equivalents has run from a low of $19.2 million in Q4 2022 to a high of $93.25 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 9.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 192.3%; the weakest was Q4 2022, with a decline of 77.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $34.3 million (Q1 2026), $42.15 million (Q4 2025) and $39.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 720.40 Mn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 850.70 Mn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 108.12 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 523.86 Mn |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 59.82 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 433.50 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 1.34 Bn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 24.22 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 18.70 Mn |
| 10 | Funko | 375.82 Mn | 217.06 Mn | 116.86 Mn | 41.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.61 Mn |
| Jun 30, 2026 | 40.71 Mn |
| Mar 31, 2026 | 34.30 Mn |
| Dec 31, 2025 | 42.15 Mn |
| Sep 30, 2025 | 39.18 Mn |
| Jun 30, 2025 | 49.15 Mn |
| Mar 31, 2025 | 25.93 Mn |
| Dec 31, 2024 | 34.66 Mn |
| Sep 30, 2024 | 28.55 Mn |
| Jun 30, 2024 | 41.55 Mn |
| Mar 31, 2024 | 26.11 Mn |
| Dec 31, 2023 | 36.45 Mn |
| Sep 30, 2023 | 31.89 Mn |
| Jun 30, 2023 | 36.83 Mn |
| Mar 31, 2023 | 34.80 Mn |
| Dec 31, 2022 | 19.20 Mn |
| Sep 30, 2022 | 25.05 Mn |
| Jun 30, 2022 | 56.19 Mn |
| Mar 31, 2022 | 33.13 Mn |
| Dec 31, 2021 | 83.56 Mn |
API Access
Funko Cash & Equivalents 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=cash-and-equivalents&ticker=FNKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();