Peraso (PRSO) Depreciation and Depletion (2022 - 2023)
Peraso (PRSO) reported Depreciation and Depletion of $168,000 for Q3 2023, up 3.7% from $162,000 a year earlier and up 0.6% from the prior quarter.
Peraso (PRSO) Depreciation and Depletion (2022 - 2023) Analysis & Trends
Over the twelve months ended Sep 30, 2023, Peraso's Depreciation and Depletion came in at $660,000; for FY2022, it came in at $578,000, up 129.4% from FY2021.
- By year, Depreciation and Depletion came in at $252,000 in FY2021.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters.
- Per Business Quant data, the three quarters before Q3 2023 came in at $167,000 (Q2 2023), $165,000 (Q1 2023) and $160,000 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 171.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 2.99 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | - |
| 10 | Peraso | 6.77 Mn | -3.07 Mn | 833,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 168,000.00 |
| Jun 30, 2023 | 167,000.00 |
| Mar 31, 2023 | 165,000.00 |
| Dec 31, 2022 | 160,000.00 |
| Sep 30, 2022 | 162,000.00 |
| Jun 30, 2022 | 135,000.00 |
| Mar 31, 2022 | 121,000.00 |
Peraso 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=PRSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "PRSO", "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=PRSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();