Ibotta (IBTA) EPS (Diluted) (2023 - 2026)
Ibotta's EPS (Diluted) was -$0.05 in Q2 2026, compared with $0.08 a year earlier.
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Analysis
Ibotta (IBTA) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ibotta's EPS (Diluted) was -$0.47 through Jun 30, 2026; for FY2025, it was $0.12, down 95.4% from FY2024.
- In earlier years, EPS (Diluted) was $2.56 in FY2024 (+80.8%), $1.42 in FY2023 and -$6.33 in FY2022.
- Quarterly EPS (Diluted) has moved between -$1.32 (Q2 2024) and $2.84 (Q4 2024) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in two of the last four quarters, with growth averaging 47.1%.
- Per Business Quant data, IBTA's EPS (Diluted) in the three quarters before Q2 2026 was -$0.43 (Q1 2026), -$0.03 (Q4 2025) and $0.05 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 9.11 |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 6.18 |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 0.80 |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 0.65 |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.16 |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.17 |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.53 |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 2.70 |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 3.76 |
| 10 | Ibotta | 929.36 Mn | 206.69 Mn | 69.72 Mn | -0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.05 |
| Mar 31, 2026 | -0.43 |
| Dec 31, 2025 | -0.03 |
| Sep 30, 2025 | 0.05 |
| Jun 30, 2025 | 0.08 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | 2.84 |
| Sep 30, 2024 | 0.51 |
| Jun 30, 2024 | -1.32 |
| Mar 31, 2024 | 0.33 |
| Dec 31, 2023 | 0.69 |
| Sep 30, 2023 | 0.31 |
| Jun 30, 2023 | 0.58 |
| Mar 31, 2023 | -0.49 |
API Access
Ibotta 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=IBTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "IBTA", "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=IBTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();