Rigetti Computing (RGTI) Non-Current Assets (2020 - 2026)
Rigetti Computing (RGTI) recorded Non-Current Assets of $233.84 million in Q2 2026, up 15.1% from $203.11 million a year earlier and up 7.0% from the prior quarter.
Rigetti Computing (RGTI) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Rigetti Computing reported Non-Current Assets of $211.81 million, up 171.5% from FY2024.
- Annual Non-Current Assets has increased for four straight years, with a five-year compound annual growth rate of 477.4% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $78.03 million in FY2024 (+49.3%), $52.25 million in FY2023 (+6.7%), $48.98 million in FY2022 (+72.7%) and $28.36 million in FY2021.
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q3 2021.
- On a year-over-year basis, Non-Current Assets has increased for 15 consecutive quarters, with growth averaging 132.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 298.9% in Q1 2026, against a decline of 91.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $218.48 million (Q1 2026), $211.81 million (Q4 2025) and $173.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 2.84 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 4.48 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 651.70 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 233.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 233.84 Mn |
| Mar 31, 2026 | 218.48 Mn |
| Dec 31, 2025 | 211.81 Mn |
| Sep 30, 2025 | 173.98 Mn |
| Jun 30, 2025 | 203.11 Mn |
| Mar 31, 2025 | 54.78 Mn |
| Dec 31, 2024 | 78.03 Mn |
| Sep 30, 2024 | 53.38 Mn |
| Jun 30, 2024 | 52.75 Mn |
| Mar 31, 2024 | 52.07 Mn |
| Dec 31, 2023 | 52.25 Mn |
| Sep 30, 2023 | 48.51 Mn |
| Jun 30, 2023 | 50.04 Mn |
| Mar 31, 2023 | 51.64 Mn |
| Dec 31, 2022 | 48.98 Mn |
| Sep 30, 2022 | 43.06 Mn |
| Jun 30, 2022 | 36.21 Mn |
| Mar 31, 2022 | 30.72 Mn |
| Dec 31, 2021 | 28.36 Mn |
| Sep 30, 2021 | 345.01 Mn |
Rigetti Computing Non-Current Assets 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=non-current-assets&ticker=RGTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();