Rigetti Computing (RGTI) Prepaid Assets (2020 - 2026)
Rigetti Computing (RGTI) posted Prepaid Assets of $4.22 million for Q2 2026, up 37.9% from $3.06 million a year earlier and up 88.0% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Prepaid Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Rigetti Computing's Prepaid Assets came in at $3.19 million, up 1.0% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 214.8% (FY2020 to FY2025).
- In prior years, Rigetti Computing's Prepaid Assets was $3.16 million in FY2024 (+62.8%), $1.94 million in FY2023 (-20.9%), $2.45 million in FY2022 (+81.3%) and $1.35 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Prepaid Assets since Q3 2024.
- On a year-over-year basis, Prepaid Assets has increased in each of the last three quarters, with growth averaging 10.3% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q1 2022, with growth of 962.1%; the weakest was Q1 2023, with a decline of 60.1%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $2.24 million (Q1 2026), $3.19 million (Q4 2025) and $3.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Rigetti Computing | 3.91 Bn | 2.20 Bn | 2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.22 Mn |
| Mar 31, 2026 | 2.24 Mn |
| Dec 31, 2025 | 3.19 Mn |
| Sep 30, 2025 | 3.66 Mn |
| Jun 30, 2025 | 3.06 Mn |
| Mar 31, 2025 | 2.12 Mn |
| Dec 31, 2024 | 3.16 Mn |
| Sep 30, 2024 | 4.90 Mn |
| Jun 30, 2024 | 3.96 Mn |
| Mar 31, 2024 | 2.58 Mn |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 3.47 Mn |
| Jun 30, 2023 | 3.34 Mn |
| Mar 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 2.45 Mn |
| Sep 30, 2022 | 3.63 Mn |
| Jun 30, 2022 | 4.25 Mn |
| Mar 31, 2022 | 4.41 Mn |
| Dec 31, 2021 | 1.35 Mn |
| Sep 30, 2021 | 346,246.00 |
API Access
Rigetti Computing Prepaid Assets 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=prepaid-assets&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();