Rigetti Computing (RGTI) Operating Leases (2022 - 2026)
Rigetti Computing (RGTI) posted Operating Leases of $5.04 million for Q2 2026, down 13.2% from $5.81 million a year earlier but up 11.9% from the prior quarter.
Rigetti Computing (RGTI) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Rigetti Computing's Operating Leases came in at $4.93 million, down 25.7% from FY2024.
- Annual Operating Leases shows a three-year compound annual growth rate of -14.4% (FY2022 to FY2025).
- In prior years, Rigetti Computing's Operating Leases was $6.64 million in FY2024 (+5.5%), $6.3 million in FY2023 (-19.9%) and $7.86 million in FY2022.
- Quarterly Operating Leases has run from a low of $4.51 million in Q1 2026 to a high of $7.86 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last four quarters, with an average decline of 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q2 2025, with growth of 6.5%; the weakest was Q1 2026, with a decline of 27.6%.
- According to Business Quant data, Operating Leases for the three prior quarters was $4.51 million (Q1 2026), $4.93 million (Q4 2025) and $5.38 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.04 Mn |
| Mar 31, 2026 | 4.51 Mn |
| Dec 31, 2025 | 4.93 Mn |
| Sep 30, 2025 | 5.38 Mn |
| Jun 30, 2025 | 5.81 Mn |
| Mar 31, 2025 | 6.23 Mn |
| Dec 31, 2024 | 6.64 Mn |
| Sep 30, 2024 | 7.04 Mn |
| Jun 30, 2024 | 5.46 Mn |
| Mar 31, 2024 | 5.88 Mn |
| Dec 31, 2023 | 6.30 Mn |
| Sep 30, 2023 | 6.71 Mn |
| Jun 30, 2023 | 7.28 Mn |
| Mar 31, 2023 | 7.48 Mn |
| Dec 31, 2022 | 7.86 Mn |
Rigetti Computing Operating Leases 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=operating-leases&ticker=RGTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();