Rigetti Computing (RGTI) Depreciation and Depletion (2021 - 2026)
Rigetti Computing's Depreciation and Depletion came in at $2.87 million for Q2 2026, up 51.5% from $1.89 million a year earlier and up 9.7% from the prior quarter.
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Analysis
Rigetti Computing (RGTI) Depreciation and Depletion (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rigetti Computing reported Depreciation and Depletion of $9.93 million, up 36.1% year-over-year; for FY2025, it came in at $8.17 million, up 18.3% from FY2024.
- Depreciation and Depletion carries a four-year compound annual growth rate of 15.1% (FY2021 to FY2025).
- Going back by year, Depreciation and Depletion was $6.91 million in FY2024 (-7.0%), $7.43 million in FY2023 (+5.8%), $7.02 million in FY2022 (+50.9%) and $4.65 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q1 2021.
- Year-over-year, Depreciation and Depletion has increased for seven consecutive quarters, with growth averaging 27.7% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2022 (growth of 116.6%), and the weakest in Q4 2023 (a decline of 52.8%).
- Business Quant data shows RGTI's Depreciation and Depletion at $2.62 million (Q1 2026), $2.37 million (Q4 2025) and $2.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 31.50 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 26.40 Mn |
| 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 | 2.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.87 Mn |
| Mar 31, 2026 | 2.62 Mn |
| Dec 31, 2025 | 2.37 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 1.83 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 1.82 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 1.79 Mn |
| Dec 31, 2023 | 1.05 Mn |
| Sep 30, 2023 | 2.13 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Mar 31, 2023 | 2.09 Mn |
| Dec 31, 2022 | 2.22 Mn |
| Sep 30, 2022 | 1.82 Mn |
| Jun 30, 2022 | 1.59 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 1.02 Mn |
| Sep 30, 2021 | 1.27 Mn |
API Access
Rigetti Computing Depreciation and Depletion 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=depreciation-and-depletion&ticker=RGTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();