Pra (PRAA) Property, Plant & Equipment (Net) (2009 - 2026)
Pra (PRAA) reported Property, Plant & Equipment (Net) of $22.21 million for Q2 2026, down 15.8% from $26.39 million a year earlier and down 9.6% from the prior quarter.
Pra (PRAA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Pra posted Property, Plant & Equipment (Net) of $24.89 million, down 15.6% from FY2024.
- Property, Plant & Equipment (Net) has declined for five consecutive years, with a five-year compound annual growth rate of -15.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $29.5 million in FY2024 (-19.1%), $36.45 million in FY2023 (-29.4%), $51.65 million in FY2022 (-5.3%) and $54.51 million in FY2021 (-6.6%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2009.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 22 quarters, with an average decline of 17.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 1.3% in Q2 2022 to 29.8% in Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.57 million (Q1 2026), $24.89 million (Q4 2025) and $25.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 44.05 Bn | 29.73 Bn | - | 277.00 Mn |
| 2 | Orix | 40.96 Bn | 10.18 Bn | 12.74 Bn | 1.09 Bn |
| 3 | Royalty Pharma | 36.72 Bn | 36.63 Bn | - | - |
| 4 | Affirm Holdings | 23.63 Bn | 17.32 Bn | - | 685.83 Mn |
| 5 | Federal National Mortgage Association Fannie Mae | 23.47 Bn | 23.47 Bn | - | - |
| 6 | Synchrony Financial | 22.90 Bn | -44.72 Bn | - | - |
| 7 | Royal Gold | 19.26 Bn | 18.48 Bn | 390.45 Mn | 8.60 Bn |
| 8 | Annaly Capital Management | 13.77 Bn | 4.86 Bn | - | - |
| 9 | Ares Capital | 13.38 Bn | 10.82 Bn | - | - |
| 10 | Pra | 718.32 Mn | 316.68 Mn | - | 22.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.21 Mn |
| Mar 31, 2026 | 24.57 Mn |
| Dec 31, 2025 | 24.89 Mn |
| Sep 30, 2025 | 25.12 Mn |
| Jun 30, 2025 | 26.39 Mn |
| Mar 31, 2025 | 27.04 Mn |
| Dec 31, 2024 | 29.50 Mn |
| Sep 30, 2024 | 31.84 Mn |
| Jun 30, 2024 | 32.83 Mn |
| Mar 31, 2024 | 34.05 Mn |
| Dec 31, 2023 | 36.45 Mn |
| Sep 30, 2023 | 38.56 Mn |
| Jun 30, 2023 | 45.87 Mn |
| Mar 31, 2023 | 48.50 Mn |
| Dec 31, 2022 | 51.65 Mn |
| Sep 30, 2022 | 52.06 Mn |
| Jun 30, 2022 | 54.18 Mn |
| Mar 31, 2022 | 54.40 Mn |
| Dec 31, 2021 | 54.51 Mn |
| Sep 30, 2021 | 53.77 Mn |
Pra Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PRAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PRAA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=PRAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();