Rigetti Computing (RGTI) Shares Outstanding (Diluted) (2020 - 2026)
Rigetti Computing (RGTI) recorded Shares Outstanding (Diluted) of 333.22 million in Q2 2026, up 11.7% from 298.25 million a year earlier but down 0.7% from the prior quarter.
Rigetti Computing (RGTI) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Rigetti Computing reported Shares Outstanding (Diluted) of 309.76 million, up 67.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 110.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 184.67 million in FY2024 (+39.9%), 131.98 million in FY2023 (+29.0%), 102.3 million in FY2022 (+174.5%) and 37.26 million in FY2021 (+396.9%).
- Quarterly Shares Outstanding (Diluted) has ranged from 34.5 million in Q3 2021 to 335.44 million in Q1 2026 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 19 consecutive quarters, with growth averaging 52.0% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 11.2% (Q1 2026) and 419.2% (Q2 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at 335.44 million (Q1 2026), 309.76 million (Q4 2025) and 325.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 160.22 Mn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 178.81 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 82.54 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 82.00 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 333.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 333.22 Mn |
| Mar 31, 2026 | 335.44 Mn |
| Dec 31, 2025 | 309.76 Mn |
| Sep 30, 2025 | 325.02 Mn |
| Jun 30, 2025 | 298.25 Mn |
| Mar 31, 2025 | 301.60 Mn |
| Dec 31, 2024 | 184.67 Mn |
| Sep 30, 2024 | 188.39 Mn |
| Jun 30, 2024 | 171.90 Mn |
| Mar 31, 2024 | 151.86 Mn |
| Dec 31, 2023 | 131.98 Mn |
| Sep 30, 2023 | 133.87 Mn |
| Jun 30, 2023 | 128.52 Mn |
| Mar 31, 2023 | 124.78 Mn |
| Dec 31, 2022 | 102.30 Mn |
| Sep 30, 2022 | 118.57 Mn |
| Jun 30, 2022 | 114.10 Mn |
| Mar 31, 2022 | 53.69 Mn |
| Dec 31, 2021 | 37.26 Mn |
| Sep 30, 2021 | 34.50 Mn |
Rigetti Computing 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=RGTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RGTI", "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=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();