Rigetti Computing (RGTI) Capital Expenditures (2021 - 2026)
Rigetti Computing (RGTI) recorded Capital Expenditures of $11.99 million in Q2 2026, up 111.6% from $5.67 million a year earlier and up 171.9% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Capital Expenditures (2021 - 2026) Analysis & Trends
On a TTM basis, Rigetti Computing's Capital Expenditures came in at $26.87 million as of Jun 30, 2026, up 128.2% year-over-year; for FY2025, it was $18.68 million, up 68.3% from FY2024.
- Annual Capital Expenditures has a four-year compound annual growth rate of 27.8% (FY2021 to FY2025).
- Across earlier years, Capital Expenditures came in at $11.1 million in FY2024 (+22.5%), $9.06 million in FY2023 (-60.2%), $22.74 million in FY2022 (+224.4%) and $7.01 million in FY2021.
- The Q2 2026 figure is the highest quarterly Capital Expenditures in data going back to Q1 2021.
- On a year-over-year basis, Capital Expenditures has increased for five consecutive quarters, with growth averaging 91.8% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 323.4% in Q3 2022, against a decline of 88.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.41 million (Q1 2026), $4.57 million (Q4 2025) and $5.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 11.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.99 Mn |
| Mar 31, 2026 | 4.41 Mn |
| Dec 31, 2025 | 4.57 Mn |
| Sep 30, 2025 | 5.89 Mn |
| Jun 30, 2025 | 5.67 Mn |
| Mar 31, 2025 | 2.55 Mn |
| Dec 31, 2024 | 1.28 Mn |
| Sep 30, 2024 | 2.28 Mn |
| Jun 30, 2024 | 2.05 Mn |
| Mar 31, 2024 | 5.49 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 931,000.00 |
| Mar 31, 2023 | 4.80 Mn |
| Dec 31, 2022 | 3.44 Mn |
| Sep 30, 2022 | 8.66 Mn |
| Jun 30, 2022 | 7.80 Mn |
| Mar 31, 2022 | 2.84 Mn |
| Dec 31, 2021 | 1.22 Mn |
| Sep 30, 2021 | 2.05 Mn |
API Access
Rigetti Computing Capital Expenditures 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=capital-expenditures&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();