Smartbird (BIRD) EPS (Diluted) (2020 - 2026)
Smartbird (BIRD) posted EPS (Diluted) of -$1.87 for Q2 2026, compared with -$1.92 a year earlier.
Analysis
Smartbird (BIRD) EPS (Diluted) (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Smartbird was -$8.82; for FY2025, it came in at -$9.47.
- In prior years, Smartbird's EPS (Diluted) was -$11.87 in FY2024, -$20.10 in FY2023, -$13.63 in FY2022 and -$13.09 in FY2021.
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) in data going back to Q3 2020.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$2.37 (Q1 2026), -$2.40 (Q4 2025) and -$2.49 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.77 Bn | 21.97 Bn | 4.80 Bn | 0.48 |
| 2 | Tapestry | 23.87 Bn | 19.83 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 22.81 Bn | 14.90 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 12.43 Bn | 5.30 Bn | - | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 8.06 Bn | 4.64 Bn | 1.07 Bn | 0.43 |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn | -0.25 |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | -0.31 |
| 9 | Birkenstock Holding | 6.13 Bn | 4.45 Bn | 493.89 Mn | 0.68 |
| 10 | Smartbird | 21.29 Mn | -80.88 Mn | - | -1.87 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.87 |
| Mar 31, 2026 | -2.37 |
| Dec 31, 2025 | -2.40 |
| Sep 30, 2025 | -2.49 |
| Jun 30, 2025 | -1.92 |
| Mar 31, 2025 | -2.73 |
| Dec 31, 2024 | -3.27 |
| Sep 30, 2024 | -2.68 |
| Jun 30, 2024 | -2.45 |
| Mar 31, 2024 | -3.52 |
| Dec 31, 2023 | -7.49 |
| Sep 30, 2023 | -4.15 |
| Jun 30, 2023 | -3.84 |
| Mar 31, 2023 | -4.69 |
| Dec 31, 2022 | -3.34 |
| Sep 30, 2022 | -3.38 |
| Jun 30, 2022 | -3.95 |
| Mar 31, 2022 | -2.97 |
| Dec 31, 2021 | -3.01 |
| Sep 30, 2021 | -4.97 |
API Access
Smartbird 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=BIRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "BIRD", "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=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();