TheRealReal (REAL) EPS (Diluted) (2019 - 2026)
TheRealReal (REAL) recorded EPS (Diluted) of $0.12 in Q3 2026, compared with -$0.46 a year earlier.
Analysis
TheRealReal (REAL) EPS (Diluted) (2019 - 2026) Analysis & Trends
On a TTM basis, TheRealReal's EPS (Diluted) came in at -$0.09 as of Sep 30, 2026; for FY2025, it came in at -$0.36.
- Across earlier years, EPS (Diluted) came in at -$1.24 in FY2024, -$1.65 in FY2023, -$2.05 in FY2022 and -$2.58 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$0.83 in Q1 2023 to $0.52 in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.23 (Q2 2026), $0.31 (Q1 2026) and -$0.33 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 0.48 |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 4.87 |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 2.92 |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 2.31 |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 0.43 |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 0.71 |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 4.52 |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 0.68 |
| 10 | TheRealReal | 1.77 Bn | 1.25 Bn | 154.40 Mn | 0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.12 |
| Jun 30, 2026 | -0.23 |
| Mar 31, 2026 | 0.31 |
| Dec 31, 2025 | -0.33 |
| Sep 30, 2025 | -0.46 |
| Jun 30, 2025 | -0.10 |
| Mar 31, 2025 | 0.52 |
| Dec 31, 2024 | -0.63 |
| Sep 30, 2024 | -0.16 |
| Jun 30, 2024 | -0.15 |
| Mar 31, 2024 | -0.30 |
| Dec 31, 2023 | -0.21 |
| Sep 30, 2023 | -0.22 |
| Jun 30, 2023 | -0.41 |
| Mar 31, 2023 | -0.83 |
| Dec 31, 2022 | -0.40 |
| Sep 30, 2022 | -0.49 |
| Jun 30, 2022 | -0.56 |
| Mar 31, 2022 | -0.61 |
| Dec 31, 2021 | -0.57 |
API Access
TheRealReal 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=REAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "REAL", "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=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();