Rigetti Computing (RGTI) Total Non-Current Liabilities (2021 - 2026)
Rigetti Computing (RGTI) reported Total Non-Current Liabilities of $32.4 million for Q2 2026, up 39.0% from $23.31 million a year earlier and up 78.2% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Rigetti Computing posted Total Non-Current Liabilities of $17.78 million, down 72.7% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of -37.1% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $65.1 million in FY2024 (+37.4%), $47.4 million in FY2023 (-7.9%), $51.45 million in FY2022 (-54.7%) and $113.6 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 21.6%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 39.0%); the low point was Q3 2022 (a decline of 89.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.19 million (Q1 2026), $17.78 million (Q4 2025) and $17.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 5.20 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 32.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.40 Mn |
| Mar 31, 2026 | 18.19 Mn |
| Dec 31, 2025 | 17.78 Mn |
| Sep 30, 2025 | 17.71 Mn |
| Jun 30, 2025 | 16.94 Mn |
| Mar 31, 2025 | 18.32 Mn |
| Dec 31, 2024 | 19.21 Mn |
| Sep 30, 2024 | 30.56 Mn |
| Jun 30, 2024 | 34.38 Mn |
| Mar 31, 2024 | 37.25 Mn |
| Dec 31, 2023 | 45.24 Mn |
| Sep 30, 2023 | 42.86 Mn |
| Jun 30, 2023 | 44.72 Mn |
| Mar 31, 2023 | 48.31 Mn |
| Dec 31, 2022 | 50.25 Mn |
| Sep 30, 2022 | 39.30 Mn |
| Jun 30, 2022 | 38.07 Mn |
| Mar 31, 2022 | 40.72 Mn |
| Dec 31, 2021 | 113.31 Mn |
| Sep 30, 2021 | 393.76 Mn |
API Access
Rigetti Computing Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();