Parsons (PSN) Property, Plant & Equipment (Net) (2018 - 2026)
Parsons' Property, Plant & Equipment (Net) was $159.51 million in Q2 2026, up 30.0% from $122.74 million a year earlier and up 3.2% from the prior quarter.
Parsons (PSN) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Parsons came in at $151.06 million, up 35.4% from FY2024.
- Property, Plant & Equipment (Net) has now increased for three consecutive years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $111.58 million in FY2024 (+12.8%), $98.96 million in FY2023 (+3.0%), $96.05 million in FY2022 (-7.8%) and $104.2 million in FY2021 (-13.9%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2018.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 12 straight quarters, with growth averaging 22.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2025 (growth of 35.4%); the worst was Q1 2022 (a decline of 15.3%).
- Per Business Quant data, PSN's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $154.59 million (Q1 2026), $151.06 million (Q4 2025) and $125.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Parsons | 4.36 Bn | 3.04 Bn | 295.24 Mn | 159.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.51 Mn |
| Mar 31, 2026 | 154.59 Mn |
| Dec 31, 2025 | 151.06 Mn |
| Sep 30, 2025 | 125.87 Mn |
| Jun 30, 2025 | 122.74 Mn |
| Mar 31, 2025 | 121.75 Mn |
| Dec 31, 2024 | 111.58 Mn |
| Sep 30, 2024 | 101.19 Mn |
| Jun 30, 2024 | 98.22 Mn |
| Mar 31, 2024 | 98.50 Mn |
| Dec 31, 2023 | 98.96 Mn |
| Sep 30, 2023 | 99.34 Mn |
| Jun 30, 2023 | 95.27 Mn |
| Mar 31, 2023 | 94.76 Mn |
| Dec 31, 2022 | 96.05 Mn |
| Sep 30, 2022 | 94.52 Mn |
| Jun 30, 2022 | 98.49 Mn |
| Mar 31, 2022 | 97.92 Mn |
| Dec 31, 2021 | 104.20 Mn |
| Sep 30, 2021 | 105.90 Mn |
Parsons 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=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PSN", "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=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();