Ibotta (IBTA) Shares Outstanding (Diluted) (2023 - 2026)
Ibotta (IBTA) recorded Weighted Average Shares Outstanding (Diluted) of 23.35 million in Q3 2026, down 20.5% from 29.38 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Ibotta (IBTA) Shares Outstanding (Diluted) (2023 - 2026) Analysis & Trends
For FY2025, Ibotta reported Weighted Average Shares Outstanding (Diluted) of 30.1 million, up 12.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a three-year compound annual growth rate of 51.4% (FY2022 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 26.86 million in FY2024 (-0.2%), 26.92 million in FY2023 (+210.4%) and 8.67 million in FY2022.
- Quarterly Weighted Average Shares Outstanding (Diluted) has ranged from 8.82 million in Q1 2023 to 33.57 million in Q3 2024 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for three consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 221.5% in Q1 2024, against a decline of 27.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 23.28 million (Q2 2026), 24.15 million (Q1 2026) and 30.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 753.00 Mn |
| 10 | Ibotta | 1.36 Bn | 712.45 Mn | 78.12 Mn | 23.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.35 Mn |
| Jun 30, 2026 | 23.28 Mn |
| Mar 31, 2026 | 24.15 Mn |
| Dec 31, 2025 | 30.10 Mn |
| Sep 30, 2025 | 29.38 Mn |
| Jun 30, 2025 | 30.43 Mn |
| Mar 31, 2025 | 33.22 Mn |
| Dec 31, 2024 | 26.86 Mn |
| Sep 30, 2024 | 33.57 Mn |
| Jun 30, 2024 | 25.66 Mn |
| Mar 31, 2024 | 28.36 Mn |
| Dec 31, 2023 | 26.92 Mn |
| Sep 30, 2023 | 26.83 Mn |
| Jun 30, 2023 | 26.56 Mn |
| Mar 31, 2023 | 8.82 Mn |
API Access
Ibotta Shares Outstanding (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=shares-outstanding-diluted&ticker=IBTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=IBTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();