Alpine Income Property Trust (PINE) Goodwill & Intangibles (2019 - 2026)
Alpine Income Property Trust's Goodwill & Intangibles was $46.15 million in Q2 2026, up 6.9% from $43.18 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Alpine Income Property Trust (PINE) Goodwill & Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Alpine Income Property Trust came in at $48.93 million, up 11.4% from FY2024.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $43.93 million in FY2024 (-10.9%), $49.29 million in FY2023 (-18.4%), $60.43 million in FY2022 (+2.7%) and $58.82 million in FY2021 (+59.5%).
- Quarterly Goodwill & Intangibles has moved between $40.57 million (Q3 2024) and $64.12 million (Q1 2022) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for four straight quarters, with an average decline of 2.1% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q1 2022 (growth of 64.4%); the worst was Q3 2024 (a decline of 21.4%).
- Per Business Quant data, PINE's Goodwill & Intangibles in the three quarters before Q2 2026 was $46.76 million (Q1 2026), $48.93 million (Q4 2025) and $41.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Alpine Income Property Trust | 306.51 Mn | 327.76 Mn | 17.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.15 Mn |
| Mar 31, 2026 | 46.76 Mn |
| Dec 31, 2025 | 48.93 Mn |
| Sep 30, 2025 | 41.79 Mn |
| Jun 30, 2025 | 43.18 Mn |
| Mar 31, 2025 | 46.06 Mn |
| Dec 31, 2024 | 43.93 Mn |
| Sep 30, 2024 | 40.57 Mn |
| Jun 30, 2024 | 45.76 Mn |
| Mar 31, 2024 | 47.02 Mn |
| Dec 31, 2023 | 49.29 Mn |
| Sep 30, 2023 | 51.62 Mn |
| Jun 30, 2023 | 53.40 Mn |
| Mar 31, 2023 | 53.92 Mn |
| Dec 31, 2022 | 60.43 Mn |
| Sep 30, 2022 | 59.59 Mn |
| Jun 30, 2022 | 61.37 Mn |
| Mar 31, 2022 | 64.12 Mn |
| Dec 31, 2021 | 58.82 Mn |
| Sep 30, 2021 | 52.69 Mn |
API Access
Alpine Income Property Trust Goodwill & 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=goodwill-and-intangibles&ticker=PINE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "PINE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=PINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();