Rigetti Computing (RGTI) Receivables (2021 - 2026)
Rigetti Computing's Receivables was $4.36 million in Q2 2026, up 37.7% from $3.16 million a year earlier but down 19.8% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Rigetti Computing came in at $3.9 million, up 16.2% from FY2024.
- Receivables shows a four-year compound annual growth rate of 16.4% (FY2021 to FY2025).
- In earlier years, Receivables was $3.36 million in FY2024 (-54.7%), $7.41 million in FY2023 (+17.1%), $6.33 million in FY2022 (+197.9%) and $2.12 million in FY2021.
- Quarterly Receivables has moved between $1.38 million (Q1 2022) and $7.68 million (Q2 2023) over five years.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 23.8% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2023 (growth of 335.9%); the worst was Q1 2025 (a decline of 77.4%).
- Per Business Quant data, RGTI's Receivables in the three quarters before Q2 2026 was $5.43 million (Q1 2026), $2.55 million (Q4 2025) and $3.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 3.63 Bn |
| 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 | 1.46 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 1.15 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 4.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.36 Mn |
| Mar 31, 2026 | 5.43 Mn |
| Dec 31, 2025 | 2.55 Mn |
| Sep 30, 2025 | 3.78 Mn |
| Jun 30, 2025 | 3.16 Mn |
| Mar 31, 2025 | 1.46 Mn |
| Dec 31, 2024 | 2.43 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 7.29 Mn |
| Mar 31, 2024 | 6.45 Mn |
| Dec 31, 2023 | 5.03 Mn |
| Sep 30, 2023 | 3.35 Mn |
| Jun 30, 2023 | 7.68 Mn |
| Mar 31, 2023 | 5.99 Mn |
| Dec 31, 2022 | 6.24 Mn |
| Sep 30, 2022 | 3.45 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | 1.38 Mn |
| Dec 31, 2021 | 1.54 Mn |
API Access
Rigetti Computing Receivables 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=receivables&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();