Postal Realty Trust (PSTL) Amortizatization of Intangibles (2018 - 2019)
Postal Realty Trust (PSTL) recorded Amortizatization of Intangibles of $843,698 in Q4 2019, up 297.4% from $212,326 a year earlier and up 39.8% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Amortizatization of Intangibles (2018 - 2019) Analysis & Trends
For FY2019, Postal Realty Trust reported Amortizatization of Intangibles of $2.08 million, up 151.4% from FY2018.
- Across earlier years, Amortizatization of Intangibles came in at $828,776 in FY2018.
- The Q4 2019 figure is the highest quarterly Amortizatization of Intangibles in data going back to Q1 2018.
- On a year-over-year basis, Amortizatization of Intangibles has increased for four consecutive quarters, with growth averaging 150.8% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $603,680 (Q3 2019), $419,787 (Q2 2019) and $216,293 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 11.09 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Postal Realty Trust | 686.04 Mn | 768.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 843,698.00 |
| Sep 30, 2019 | 603,680.00 |
| Jun 30, 2019 | 419,787.00 |
| Mar 31, 2019 | 216,293.00 |
| Dec 31, 2018 | 212,326.00 |
| Sep 30, 2018 | 205,442.00 |
| Jun 30, 2018 | 200,972.00 |
| Mar 31, 2018 | 210,036.00 |
API Access
Postal Realty Trust Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "PSTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();