Rigetti Computing (RGTI) Property, Plant & Equipment (Net) (2021 - 2026)
Rigetti Computing (RGTI) posted Property, Plant & Equipment (Net) of $75.3 million for Q2 2026, up 54.1% from $48.87 million a year earlier and up 30.8% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, Rigetti Computing's Property, Plant & Equipment (Net) came in at $57.05 million, up 27.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four consecutive years, with a four-year compound annual growth rate of 26.2% (FY2021 to FY2025).
- In prior years, Rigetti Computing's Property, Plant & Equipment (Net) was $44.64 million in FY2024 (+0.4%), $44.48 million in FY2023 (+12.5%), $39.53 million in FY2022 (+75.7%) and $22.5 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 15 quarters, with growth averaging 18.7% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 0.4% (Q4 2024) and 77.8% (Q1 2023) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $57.59 million (Q1 2026), $57.05 million (Q4 2025) and $54.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 753.00 Mn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 33.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 341.51 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | 75.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.30 Mn |
| Mar 31, 2026 | 57.59 Mn |
| Dec 31, 2025 | 57.05 Mn |
| Sep 30, 2025 | 54.07 Mn |
| Jun 30, 2025 | 48.87 Mn |
| Mar 31, 2025 | 46.10 Mn |
| Dec 31, 2024 | 44.64 Mn |
| Sep 30, 2024 | 44.84 Mn |
| Jun 30, 2024 | 45.65 Mn |
| Mar 31, 2024 | 44.61 Mn |
| Dec 31, 2023 | 44.48 Mn |
| Sep 30, 2023 | 40.35 Mn |
| Jun 30, 2023 | 41.36 Mn |
| Mar 31, 2023 | 42.58 Mn |
| Dec 31, 2022 | 39.53 Mn |
| Sep 30, 2022 | 37.44 Mn |
| Jun 30, 2022 | 30.58 Mn |
| Mar 31, 2022 | 23.94 Mn |
| Dec 31, 2021 | 22.50 Mn |
API Access
Rigetti Computing Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();