Compass (COMP) Non Operating Interest Expenses (2020 - 2026)
Compass (COMP) recorded Non Operating Interest Expenses of $41 million in Q2 2026, compared with $3 million a year earlier and up 10.8% from the prior quarter.
Compass (COMP) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Compass' Non Operating Interest Expenses came in at $82 million as of Jun 30, 2026, up 888.0% year-over-year; for FY2025, it came in at $9 million, up 40.6% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 71.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $6.4 million in FY2024 (-40.7%), $10.8 million in FY2023 (+200.0%), $3.6 million in FY2022 (+50.0%) and $2.4 million in FY2021 (+300.0%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q3 2020.
- On a year-over-year basis, Non Operating Interest Expenses rose in five of the last six quarters, with growth averaging 26.3%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 485.7% in Q2 2023, against a decline of 61.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $37 million (Q1 2026), $1.9 million (Q4 2025) and $2.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 3.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.00 Mn |
| Mar 31, 2026 | 37.00 Mn |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | 1.80 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 3.20 Mn |
| Dec 31, 2022 | 1.30 Mn |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 700,000.00 |
| Dec 31, 2021 | 600,000.00 |
| Sep 30, 2021 | 700,000.00 |
Compass Non Operating Interest 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=non-operating-interest-expenses&ticker=COMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "COMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();