Funko (FNKO) EPS (Diluted) (2017 - 2026)
Funko (FNKO) reported EPS (Diluted) of $0.27 for Q2 2026, compared with -$0.74 a year earlier.
Analysis
Funko (FNKO) EPS (Diluted) (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Funko's EPS (Diluted) came in at -$0.04; for FY2025, it was -$1.24.
- By year, EPS (Diluted) came in at -$0.28 in FY2024, -$3.19 in FY2023, -$0.18 in FY2022 and $1.08 in FY2021 (+876.2%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) since Q2 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.33 (Q1 2026), $0.00 (Q4 2025) and $0.02 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn | 0.03 |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn | 1.12 |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn | 2.08 |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn | -0.06 |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn | 0.94 |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 0.40 |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn | 0.14 |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn | -0.16 |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn | 0.43 |
| 10 | Funko | 313.60 Mn | 157.58 Mn | 117.63 Mn | 0.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.27 |
| Mar 31, 2026 | -0.33 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.02 |
| Jun 30, 2025 | -0.74 |
| Mar 31, 2025 | -0.52 |
| Dec 31, 2024 | -0.03 |
| Sep 30, 2024 | 0.08 |
| Jun 30, 2024 | 0.10 |
| Mar 31, 2024 | -0.45 |
| Dec 31, 2023 | -0.22 |
| Sep 30, 2023 | -0.31 |
| Jun 30, 2023 | -1.54 |
| Mar 31, 2023 | -1.17 |
| Dec 31, 2022 | -0.95 |
| Sep 30, 2022 | 0.19 |
| Jun 30, 2022 | 0.27 |
| Mar 31, 2022 | 0.23 |
| Dec 31, 2021 | 0.29 |
| Sep 30, 2021 | 0.28 |
API Access
Funko EPS (Diluted) 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=eps-diluted&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();