Rigetti Computing (RGTI) Return on Sales [ROS] (2021 - 2026)
Rigetti Computing (RGTI) posted Return on Sales [ROS] of -546.17% for Q2 2026, up 557.78 percentage points from -1103.94% a year earlier and up 43.63 percentage points from the prior quarter.
Rigetti Computing (RGTI) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Rigetti Computing was -727.62%, up 248.46 percentage points year-over-year; for FY2025, it was -1194.41%, down 559.47 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a four-year change of -778.00 percentage points (FY2021 to FY2025).
- In prior years, Rigetti Computing's Return on Sales [ROS] was -634.94% in FY2024 (-32.88 pp), -602.06% in FY2023 (+230.49 pp), -832.54% in FY2022 (-416.13 pp) and -416.41% in FY2021.
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -160.58 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 879.77 percentage points; the weakest was Q1 2025, with a drop of 926.15 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -589.80% (Q1 2026), -1209.69% (Q4 2025) and -1055.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 310.15 Bn | 295.22 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 263.73 Bn | 244.17 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.04 Bn | 117.97 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 114.70 Bn | 102.02 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.79 Bn | 78.43 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 41.60 Bn | 27.72 Bn | - | - |
| 7 | Okta | 35.61 Bn | 25.70 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 34.15 Bn | 28.67 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 29.89 Bn | 20.36 Bn | 569.77 Mn | 3.68% |
| 10 | Rigetti Computing | 3.84 Bn | 2.14 Bn | 2.19 Mn | -546.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -546.17% |
| Mar 31, 2026 | -589.80% |
| Dec 31, 2025 | -1,209.69% |
| Sep 30, 2025 | -1,055.42% |
| Jun 30, 2025 | -1,103.94% |
| Mar 31, 2025 | -1,469.57% |
| Dec 31, 2024 | -813.28% |
| Sep 30, 2024 | -729.44% |
| Jun 30, 2024 | -521.22% |
| Mar 31, 2024 | -543.41% |
| Dec 31, 2023 | -509.69% |
| Sep 30, 2023 | -542.09% |
| Jun 30, 2023 | -488.01% |
| Mar 31, 2023 | -1,000.45% |
| Dec 31, 2022 | -441.02% |
| Sep 30, 2022 | -1,117.12% |
| Jun 30, 2022 | -1,207.03% |
| Mar 31, 2022 | -1,201.14% |
| Dec 31, 2021 | -551.74% |
| Sep 30, 2021 | -314.11% |
Rigetti Computing Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();