Parsons (PSN) Operating Leases (2019 - 2026)
Parsons' Operating Leases was $120.3 million in Q2 2026, up 20.0% from $100.22 million a year earlier but down 0.8% from the prior quarter.
Analysis
Parsons (PSN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Parsons came in at $94.04 million, down 17.8% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- In earlier years, Operating Leases was $114.39 million in FY2024 (-2.7%), $117.51 million in FY2023 (+5.5%), $111.42 million in FY2022 (-25.2%) and $148.89 million in FY2021 (-18.4%).
- Quarterly Operating Leases has moved between $94.04 million (Q4 2025) and $157.59 million (Q3 2021) over five years.
- Compared with a year earlier, Operating Leases was higher in four of the last eight quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Operating Leases over five years was Q2 2026 (growth of 20.0%); the worst was Q4 2022 (a decline of 25.2%).
- Per Business Quant data, PSN's Operating Leases in the three quarters before Q2 2026 was $121.31 million (Q1 2026), $94.04 million (Q4 2025) and $97.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Parsons | 4.45 Bn | 3.13 Bn | 295.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.30 Mn |
| Mar 31, 2026 | 121.31 Mn |
| Dec 31, 2025 | 94.04 Mn |
| Sep 30, 2025 | 97.67 Mn |
| Jun 30, 2025 | 100.22 Mn |
| Mar 31, 2025 | 108.34 Mn |
| Dec 31, 2024 | 114.39 Mn |
| Sep 30, 2024 | 97.84 Mn |
| Jun 30, 2024 | 98.15 Mn |
| Mar 31, 2024 | 106.69 Mn |
| Dec 31, 2023 | 117.51 Mn |
| Sep 30, 2023 | 119.28 Mn |
| Jun 30, 2023 | 128.63 Mn |
| Mar 31, 2023 | 107.48 Mn |
| Dec 31, 2022 | 111.42 Mn |
| Sep 30, 2022 | 121.17 Mn |
| Jun 30, 2022 | 127.49 Mn |
| Mar 31, 2022 | 135.28 Mn |
| Dec 31, 2021 | 148.89 Mn |
| Sep 30, 2021 | 157.59 Mn |
API Access
Parsons Operating Leases 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=operating-leases&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();