Rigetti Computing (RGTI) Cash & Equivalents (2021 - 2026)
Rigetti Computing's Cash & Equivalents came in at $27.76 million for Q2 2026, down 51.4% from $57.18 million a year earlier and down 42.3% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Rigetti Computing's Cash & Equivalents was $44.85 million, down 33.7% from FY2024.
- Cash & Equivalents carries a four-year compound annual growth rate of 39.8% (FY2021 to FY2025).
- Going back by year, Cash & Equivalents was $67.67 million in FY2024 (+216.4%), $21.39 million in FY2023 (-63.0%), $57.89 million in FY2022 (+393.5%) and $11.73 million in FY2021.
- The five-year range for quarterly Cash & Equivalents is $925,438 (Q3 2021) to $73.84 million (Q3 2022).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 40.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2022 (growth of 393.5%), and the weakest in Q4 2023 (a decline of 63.0%).
- Business Quant data shows RGTI's Cash & Equivalents at $48.15 million (Q1 2026), $44.85 million (Q4 2025) and $26.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 928.35 Mn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 763.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 597.70 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 27.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.76 Mn |
| Mar 31, 2026 | 48.15 Mn |
| Dec 31, 2025 | 44.85 Mn |
| Sep 30, 2025 | 26.13 Mn |
| Jun 30, 2025 | 57.18 Mn |
| Mar 31, 2025 | 37.16 Mn |
| Dec 31, 2024 | 67.67 Mn |
| Sep 30, 2024 | 20.29 Mn |
| Jun 30, 2024 | 20.68 Mn |
| Mar 31, 2024 | 35.10 Mn |
| Dec 31, 2023 | 21.39 Mn |
| Sep 30, 2023 | 41.76 Mn |
| Jun 30, 2023 | 21.71 Mn |
| Mar 31, 2023 | 26.12 Mn |
| Dec 31, 2022 | 57.89 Mn |
| Sep 30, 2022 | 73.84 Mn |
| Dec 31, 2021 | 11.73 Mn |
| Sep 30, 2021 | 925,438.00 |
| Jun 30, 2021 | 1.23 Mn |
| Mar 31, 2021 | 1.39 Mn |
API Access
Rigetti Computing Cash & Equivalents 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=cash-and-equivalents&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();