Rigetti Computing (RGTI) Other Operating Expenses (2022 - 2025)
Rigetti Computing (RGTI) recorded Other Operating Expenses of $1.37 million in Q2 2026, down 40.4% from $2.3 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Other Operating Expenses (2022 - 2025) Analysis & Trends
On a TTM basis, Rigetti Computing's Other Operating Expenses came in at $6.84 million as of Jun 30, 2026, down 81.5% year-over-year; for FY2025, it came in at -$2.52 million.
- Across earlier years, Other Operating Expenses came in at $43.74 million in FY2024, $949,000 in FY2023 and -$19.21 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 4.10 Mn |
| Jun 30, 2025 | 2.30 Mn |
| Mar 31, 2025 | -8.84 Mn |
| Dec 31, 2024 | 44.26 Mn |
| Sep 30, 2024 | -820,000.00 |
| Jun 30, 2024 | -1.32 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | -1.45 Mn |
| Sep 30, 2023 | 1.73 Mn |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 300,000.00 |
| Dec 31, 2022 | -1.79 Mn |
| Sep 30, 2022 | -4.90 Mn |
| Jun 30, 2022 | -6.60 Mn |
| Mar 31, 2022 | -6.00 Mn |
API Access
Rigetti Computing Other Operating Expenses 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=other-operating-expenses&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();