Agnt (AGNT) EV to EBITDA (2020 - 2023)
Agnt's EV to EBITDA was 199.40 in Q4 2023, up 232.1% from 60.05 a year earlier and up 134.8% from the prior quarter.
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Analysis
Agnt (AGNT) EV to EBITDA (2020 - 2023) Analysis & Trends
For FY2023, EV to EBITDA at Agnt came in at 199.38, up 232.0% from FY2022.
- In earlier years, EV to EBITDA was 60.05 in FY2022 (-49.0%), 117.70 in FY2021 (-3.6%) and 122.15 in FY2020.
- The Q4 2023 figure marks the highest quarterly EV to EBITDA since Q1 2020.
- Compared with a year earlier, EV to EBITDA has increased for four straight quarters, with growth averaging 33.9% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2023 (growth of 232.1%); the worst was Q1 2021 (a decline of 90.0%).
- Per Business Quant data, AGNT's EV to EBITDA in the three quarters before Q4 2023 was 84.93 (Q3 2023), 123.14 (Q2 2023) and 82.30 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 199.40 |
| Sep 30, 2023 | 84.93 |
| Jun 30, 2023 | 123.14 |
| Mar 31, 2023 | 82.30 |
| Dec 31, 2022 | 60.05 |
| Sep 30, 2022 | 53.91 |
| Jun 30, 2022 | 42.70 |
| Mar 31, 2022 | 72.44 |
| Dec 31, 2021 | 117.70 |
| Sep 30, 2021 | 122.75 |
| Jun 30, 2021 | 110.57 |
| Mar 31, 2021 | 156.18 |
| Dec 31, 2020 | 122.16 |
| Sep 30, 2020 | 46.41 |
| Jun 30, 2020 | 46.49 |
| Mar 31, 2020 | 1,555.56 |
API Access
Agnt EV to EBITDA 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=ev-to-ebitda&ticker=AGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "AGNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=AGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();