Perella Weinberg Partners (PWP) Depreciation and Depletion (2020 - 2026)
Perella Weinberg Partners' Depreciation and Depletion came in at $3.4 million for Q2 2026, up 3.0% from $3.3 million a year earlier and unchanged from the prior quarter.
Perella Weinberg Partners (PWP) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Perella Weinberg Partners reported Depreciation and Depletion of $13.5 million, up 0.7% year-over-year; for FY2025, it came in at $13.3 million, down 2.9% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $13.7 million in FY2024 (+75.6%), $7.8 million in FY2023 (+151.6%), $3.1 million in FY2022 (-53.7%) and $6.7 million in FY2021 (-8.2%).
- Year-over-year, Depreciation and Depletion increased in four of the last eight quarters, with growth averaging 11.1%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2023 (growth of 300.0%), and the weakest in Q3 2022 (a decline of 62.5%).
- Business Quant data shows PWP's Depreciation and Depletion at $3.4 million (Q1 2026), $3.4 million (Q4 2025) and $3.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 28.20 Mn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | - |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | - |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | - |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | - |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 11.20 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | - |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 7.20 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 1.00 Mn |
| 10 | Perella Weinberg Partners | 936.67 Mn | 301.72 Mn | - | 3.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.40 Mn |
| Mar 31, 2026 | 3.40 Mn |
| Dec 31, 2025 | 3.40 Mn |
| Sep 30, 2025 | 3.30 Mn |
| Jun 30, 2025 | 3.30 Mn |
| Mar 31, 2025 | 3.30 Mn |
| Dec 31, 2024 | 3.40 Mn |
| Sep 30, 2024 | 3.40 Mn |
| Jun 30, 2024 | 3.40 Mn |
| Mar 31, 2024 | 3.40 Mn |
| Dec 31, 2023 | 2.80 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 700,000.00 |
| Sep 30, 2022 | 600,000.00 |
| Jun 30, 2022 | 800,000.00 |
| Mar 31, 2022 | 1.10 Mn |
| Dec 31, 2021 | 1.50 Mn |
| Sep 30, 2021 | 1.60 Mn |
Perella Weinberg Partners 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=PWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "PWP", "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=PWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();