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.
Powered by 
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 | 15.15 Bn | 11.20 Bn | 1.07 Bn | 720.40 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 880.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | 67.94 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 523.86 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | 59.82 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 278.10 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 1.21 Bn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | 229.60 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 30.65 Mn |
| 10 | Funko | 328.16 Mn | 172.15 Mn | 117.63 Mn | 40.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 93.25 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();