Perella Weinberg Partners (PWP) Total Liabilities (2019 - 2026)
Perella Weinberg Partners (PWP) recorded Total Liabilities of $690.76 million in Q2 2026, down 25.3% from $925.12 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Perella Weinberg Partners (PWP) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Perella Weinberg Partners reported Total Liabilities of $925 million, down 28.7% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.3 billion in FY2024 (+163.4%), $492.86 million in FY2023 (+7.9%), $456.95 million in FY2022 (+2.2%) and $446.98 million in FY2021 (-4.6%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q1 2024.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with growth averaging 60.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 217.2% in Q3 2024, against a decline of 28.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $750.5 million (Q1 2026), $925 million (Q4 2025) and $952.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.04 Bn | 94.14 Bn | - | 168.16 Bn |
| 2 | Intercontinental Exchange | 89.05 Bn | 82.79 Bn | - | 144.63 Bn |
| 3 | Robinhood Markets | 88.38 Bn | 69.41 Bn | - | 47.01 Bn |
| 4 | Nasdaq | 53.43 Bn | 50.85 Bn | 1.50 Bn | 15.35 Bn |
| 5 | Interactive Brokers | 37.07 Bn | 14.18 Bn | - | 225.06 Bn |
| 6 | Cboe Global Markets | 32.92 Bn | 24.57 Bn | 731.60 Mn | 4.98 Bn |
| 7 | LPL Financial Holdings | 25.73 Bn | 21.05 Bn | - | 14.03 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.35 Bn | - | 912.69 Mn |
| 9 | Circle Internet | 21.36 Bn | 15.24 Bn | 288.85 Mn | 73.66 Bn |
| 10 | Perella Weinberg Partners | 948.53 Mn | 313.59 Mn | - | 690.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.76 Mn |
| Mar 31, 2026 | 750.50 Mn |
| Dec 31, 2025 | 925.00 Mn |
| Sep 30, 2025 | 952.64 Mn |
| Jun 30, 2025 | 925.12 Mn |
| Mar 31, 2025 | 893.60 Mn |
| Dec 31, 2024 | 1.30 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 928.49 Mn |
| Mar 31, 2024 | 304.57 Mn |
| Dec 31, 2023 | 492.86 Mn |
| Sep 30, 2023 | 369.36 Mn |
| Jun 30, 2023 | 323.83 Mn |
| Mar 31, 2023 | 275.49 Mn |
| Dec 31, 2022 | 456.95 Mn |
| Sep 30, 2022 | 357.42 Mn |
| Jun 30, 2022 | 271.35 Mn |
| Mar 31, 2022 | 185.05 Mn |
| Dec 31, 2021 | 446.98 Mn |
| Sep 30, 2021 | 401.68 Mn |
API Access
Perella Weinberg Partners Total Liabilities 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=total-liabilities&ticker=PWP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();