Piper Sandler Companies (PIPR) Operating Expenses (2010 - 2026)
Piper Sandler Companies (PIPR) posted Operating Expenses of $395.08 million for Q2 2026, up 13.6% from $347.85 million a year earlier and up 2.2% from the prior quarter.
Piper Sandler Companies (PIPR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Piper Sandler Companies was $1.63 billion, up 18.0% year-over-year; for FY2025, it was $1.52 billion, up 16.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Piper Sandler Companies' Operating Expenses was $1.31 billion in FY2024 (+6.7%), $1.23 billion in FY2023 (-5.1%), $1.29 billion in FY2022 (-18.8%) and $1.59 billion in FY2021 (+35.9%).
- Quarterly Operating Expenses has run from a low of $272.1 million in Q1 2023 to a high of $479.37 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 11 quarters, with growth averaging 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 42.9%; the weakest was Q4 2022, with a decline of 27.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $386.48 million (Q1 2026), $477.29 million (Q4 2025) and $371.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Piper Sandler Companies | 4.27 Bn | 2.70 Bn | - | 395.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 395.08 Mn |
| Mar 31, 2026 | 386.48 Mn |
| Dec 31, 2025 | 477.29 Mn |
| Sep 30, 2025 | 371.85 Mn |
| Jun 30, 2025 | 347.85 Mn |
| Mar 31, 2025 | 327.84 Mn |
| Dec 31, 2024 | 401.98 Mn |
| Sep 30, 2024 | 303.96 Mn |
| Jun 30, 2024 | 310.93 Mn |
| Mar 31, 2024 | 290.63 Mn |
| Dec 31, 2023 | 386.01 Mn |
| Sep 30, 2023 | 292.94 Mn |
| Jun 30, 2023 | 274.35 Mn |
| Mar 31, 2023 | 272.10 Mn |
| Dec 31, 2022 | 348.38 Mn |
| Sep 30, 2022 | 312.85 Mn |
| Jun 30, 2022 | 315.03 Mn |
| Mar 31, 2022 | 315.01 Mn |
| Dec 31, 2021 | 479.37 Mn |
| Sep 30, 2021 | 369.86 Mn |
Piper Sandler Companies Operating 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=operating-expenses&ticker=PIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PIPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();