Agnt (AGNT) Price to Earnings (2020 - 2023)
Agnt's (AGNT) Price to Earnings stood at 497.25 in Q3 2023, compared with 44.87 a year earlier and up 28.9% from the prior quarter.
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Analysis
Agnt (AGNT) Price to Earnings (2020 - 2023) Analysis & Trends
For FY2022, Agnt's Price to Earnings came in at 109.67, up 77.7% from FY2021.
- Across earlier years, Price to Earnings came in at 61.71 in FY2021 (-57.8%) and 146.13 in FY2020.
- The Q3 2023 figure is the highest quarterly Price to Earnings in data going back to Q3 2020.
- On a year-over-year basis, Price to Earnings rose in two of the last six quarters, with growth averaging 63.7%.
- Per Business Quant, the preceding three quarters came in at 385.68 (Q2 2023), 243.00 (Q1 2023) and 109.67 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 497.25 |
| Jun 30, 2023 | 385.68 |
| Mar 31, 2023 | 243.00 |
| Dec 31, 2022 | 109.67 |
| Sep 30, 2022 | 44.87 |
| Jun 30, 2022 | 31.04 |
| Mar 31, 2022 | 37.35 |
| Dec 31, 2021 | 61.71 |
| Sep 30, 2021 | 79.90 |
| Jun 30, 2021 | 87.89 |
| Mar 31, 2021 | 184.30 |
| Dec 31, 2020 | 146.13 |
| Sep 30, 2020 | 102.86 |
API Access
Agnt Price to Earnings 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=price-to-earnings&ticker=AGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();