Parsons (PSN) Capital Expenditures (2018 - 2026)
Parsons (PSN) reported Capital Expenditures of $16.13 million for Q2 2026, up 71.0% from $9.44 million a year earlier and up 8.1% from the prior quarter.
Parsons (PSN) Capital Expenditures (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Parsons' Capital Expenditures came in at $76.11 million, up 42.5% year-over-year; for FY2025, it was $67.97 million, up 38.1% from FY2024.
- Capital Expenditures has increased for four consecutive years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $49.21 million in FY2024 (+21.8%), $40.4 million in FY2023 (+32.0%), $30.59 million in FY2022 (+45.0%) and $21.11 million in FY2021 (-38.0%).
- Five-year quarterly Capital Expenditures spans a low of $3.63 million in Q3 2021 and a high of $31.94 million in Q4 2025.
- Year over year, Capital Expenditures has now increased in each of the last seven quarters, with growth averaging 37.0% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q3 2023 (growth of 108.5%); the low point was Q3 2021 (a decline of 41.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.92 million (Q1 2026), $31.94 million (Q4 2025) and $13.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Parsons | 4.44 Bn | 3.12 Bn | 295.24 Mn | 16.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.13 Mn |
| Mar 31, 2026 | 14.92 Mn |
| Dec 31, 2025 | 31.94 Mn |
| Sep 30, 2025 | 13.12 Mn |
| Jun 30, 2025 | 9.44 Mn |
| Mar 31, 2025 | 13.47 Mn |
| Dec 31, 2024 | 18.77 Mn |
| Sep 30, 2024 | 11.75 Mn |
| Jun 30, 2024 | 9.26 Mn |
| Mar 31, 2024 | 9.44 Mn |
| Dec 31, 2023 | 9.52 Mn |
| Sep 30, 2023 | 12.92 Mn |
| Jun 30, 2023 | 9.81 Mn |
| Mar 31, 2023 | 8.15 Mn |
| Dec 31, 2022 | 10.81 Mn |
| Sep 30, 2022 | 6.20 Mn |
| Jun 30, 2022 | 9.12 Mn |
| Mar 31, 2022 | 4.47 Mn |
| Dec 31, 2021 | 8.30 Mn |
| Sep 30, 2021 | 3.63 Mn |
Parsons Capital Expenditures 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=capital-expenditures&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();