TheRealReal (REAL) EPS (Diluted) (2019 - 2026)
TheRealReal (REAL) recorded EPS (Diluted) of -$0.23 in Q2 2026, compared with -$0.10 a year earlier.
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Analysis
TheRealReal (REAL) EPS (Diluted) (2019 - 2026) Analysis & Trends
On a TTM basis, TheRealReal's EPS (Diluted) came in at -$0.67 as of Jun 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 $0.31 (Q1 2026), -$0.33 (Q4 2025) and -$0.46 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 0.22 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 4.13 |
| 10 | TheRealReal | 1.08 Bn | 572.79 Mn | 143.20 Mn | -0.23 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -0.62 |
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_KEYimport 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();