Funko (FNKO) Return on Sales [ROS] (2016 - 2026)
Funko (FNKO) posted Return on Sales [ROS] of 10.66% for Q2 2026, up 28.62 percentage points from -17.96% a year earlier and up 15.45 percentage points from the prior quarter.
Funko (FNKO) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Funko was 2.67%, up 6.87 percentage points year-over-year; for FY2025, it was -5.01%, down 6.25 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -8.62 percentage points (FY2020 to FY2025).
- In prior years, Funko's Return on Sales [ROS] was 1.24% in FY2024 (+10.68 pp), -9.44% in FY2023 (-8.54 pp), -0.90% in FY2022 (-10.18 pp) and 9.27% in FY2021 (+5.67 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +2.01 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 28.62 percentage points; the weakest was Q1 2023, with a drop of 32.01 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -4.79% (Q1 2026), 2.19% (Q4 2025) and 2.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | 11.74% |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 22.16% |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | 21.54% |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 0.97% |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | 19.33% |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 18.75% |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 13.36% |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | -46.85% |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 4.83% |
| 10 | Funko | 328.16 Mn | 172.15 Mn | 117.63 Mn | 10.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.66% |
| Mar 31, 2026 | -4.79% |
| Dec 31, 2025 | 2.19% |
| Sep 30, 2025 | 2.56% |
| Jun 30, 2025 | -17.96% |
| Mar 31, 2025 | -12.16% |
| Dec 31, 2024 | 1.85% |
| Sep 30, 2024 | 4.01% |
| Jun 30, 2024 | 4.33% |
| Mar 31, 2024 | -6.91% |
| Dec 31, 2023 | -1.15% |
| Sep 30, 2023 | -1.74% |
| Jun 30, 2023 | -12.71% |
| Mar 31, 2023 | -25.59% |
| Dec 31, 2022 | -17.43% |
| Sep 30, 2022 | 4.76% |
| Jun 30, 2022 | 2.83% |
| Mar 31, 2022 | 6.42% |
| Dec 31, 2021 | 7.49% |
| Sep 30, 2021 | 9.78% |
Funko Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();