Re (RMAX) Depreciation & Amortization (CF) (2012 - 2026)
Re's Depreciation & Amortization (CF) was $5.87 million in Q2 2026, down 11.1% from $6.6 million a year earlier and down 0.1% from the prior quarter.
Re (RMAX) Depreciation & Amortization (CF) (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Re's Depreciation & Amortization (CF) was $24.4 million through Jun 30, 2026, down 11.3% year-over-year; for FY2025, it came in at $25.85 million, down 12.6% from FY2024.
- Depreciation & Amortization (CF) has now declined for three consecutive years, with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $29.56 million in FY2024 (-8.8%), $32.41 million in FY2023 (-9.4%), $35.77 million in FY2022 (+14.2%) and $31.33 million in FY2021 (+20.0%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q4 2019.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for 15 straight quarters, with an average decline of 12.1% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q2 2022 (growth of 33.1%); the worst was Q1 2025 (a decline of 16.1%).
- Per Business Quant data, RMAX's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $5.88 million (Q1 2026), $6.22 million (Q4 2025) and $6.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 190.00 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 57.20 Mn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 153.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 71.72 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 28.50 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 45.98 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 2.35 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 1.64 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | 5.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.87 Mn |
| Mar 31, 2026 | 5.88 Mn |
| Dec 31, 2025 | 6.22 Mn |
| Sep 30, 2025 | 6.44 Mn |
| Jun 30, 2025 | 6.60 Mn |
| Mar 31, 2025 | 6.59 Mn |
| Dec 31, 2024 | 7.07 Mn |
| Sep 30, 2024 | 7.24 Mn |
| Jun 30, 2024 | 7.40 Mn |
| Mar 31, 2024 | 7.85 Mn |
| Dec 31, 2023 | 8.18 Mn |
| Sep 30, 2023 | 8.20 Mn |
| Jun 30, 2023 | 8.01 Mn |
| Mar 31, 2023 | 8.03 Mn |
| Dec 31, 2022 | 8.91 Mn |
| Sep 30, 2022 | 8.76 Mn |
| Jun 30, 2022 | 9.11 Mn |
| Mar 31, 2022 | 8.99 Mn |
| Dec 31, 2021 | 9.10 Mn |
| Sep 30, 2021 | 8.58 Mn |
Re Depreciation & Amortization (CF) 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-amortization-cf&ticker=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "RMAX", "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-amortization-cf&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();