Perella Weinberg Partners (PWP) Change in Accured Expenses (2019 - 2026)
Perella Weinberg Partners (PWP) posted Change in Accured Expenses of $5.44 million for Q2 2026, down 71.9% from $19.34 million a year earlier.
Perella Weinberg Partners (PWP) Change in Accured Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Perella Weinberg Partners was -$53.02 million; for FY2025, it was -$120.37 million.
- In prior years, Perella Weinberg Partners' Change in Accured Expenses was $93.39 million in FY2024 (+487.1%), $15.91 million in FY2023, -$97.14 million in FY2022 and $97.91 million in FY2021 (+406.1%).
- Quarterly Change in Accured Expenses has run from a low of -$258.66 million in Q1 2022 to a high of $145.06 million in Q3 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 24.7%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2024, with growth of 392.5%; the weakest was Q3 2025, with a decline of 83.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$160.46 million (Q1 2026), $77.61 million (Q4 2025) and $24.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | -70.30 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | -77.00 Mn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 67.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 36.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 364.00 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 69.70 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 55.29 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 49.37 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 133.37 Mn |
| 10 | Perella Weinberg Partners | 955.21 Mn | 320.26 Mn | - | 5.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.44 Mn |
| Mar 31, 2026 | -160.46 Mn |
| Dec 31, 2025 | 77.61 Mn |
| Sep 30, 2025 | 24.39 Mn |
| Jun 30, 2025 | 19.34 Mn |
| Mar 31, 2025 | -241.72 Mn |
| Dec 31, 2024 | 55.17 Mn |
| Sep 30, 2024 | 145.06 Mn |
| Jun 30, 2024 | 92.13 Mn |
| Mar 31, 2024 | -198.97 Mn |
| Dec 31, 2023 | 112.66 Mn |
| Sep 30, 2023 | 29.45 Mn |
| Jun 30, 2023 | 54.39 Mn |
| Mar 31, 2023 | -180.59 Mn |
| Dec 31, 2022 | 79.11 Mn |
| Sep 30, 2022 | 35.88 Mn |
| Jun 30, 2022 | 46.53 Mn |
| Mar 31, 2022 | -258.66 Mn |
| Dec 31, 2021 | 40.87 Mn |
| Sep 30, 2021 | 58.42 Mn |
Perella Weinberg Partners Change in Accured Expenses 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=change-in-accured-expenses&ticker=PWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();