Parsons (PSN) Intangibles (2018 - 2026)
Parsons' Intangibles came in at $384.18 million for Q2 2026, up 6.3% from $361.3 million a year earlier but down 5.8% from the prior quarter.
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Analysis
Parsons (PSN) Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, Parsons' Intangibles was $325.88 million, down 6.9% from FY2024.
- Intangibles carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Intangibles was $349.94 million in FY2024 (+27.0%), $275.57 million in FY2023 (+8.4%), $254.13 million in FY2022 (+22.3%) and $207.82 million in FY2021 (unchanged).
- The five-year range for quarterly Intangibles is $188.73 million (Q1 2022) to $407.86 million (Q1 2026).
- Year-over-year, Intangibles increased in seven of the last eight quarters, with growth averaging 17.7%.
- The fastest year-over-year change in Intangibles over five years came in Q2 2025 (growth of 45.6%), and the weakest in Q2 2023 (a decline of 15.7%).
- Business Quant data shows PSN's Intangibles at $407.86 million (Q1 2026), $325.88 million (Q4 2025) and $339.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.41 Bn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn | 384.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.18 Mn |
| Mar 31, 2026 | 407.86 Mn |
| Dec 31, 2025 | 325.88 Mn |
| Sep 30, 2025 | 339.43 Mn |
| Jun 30, 2025 | 361.30 Mn |
| Mar 31, 2025 | 339.66 Mn |
| Dec 31, 2024 | 349.94 Mn |
| Sep 30, 2024 | 307.95 Mn |
| Jun 30, 2024 | 248.08 Mn |
| Mar 31, 2024 | 261.86 Mn |
| Dec 31, 2023 | 275.57 Mn |
| Sep 30, 2023 | 282.10 Mn |
| Jun 30, 2023 | 240.30 Mn |
| Mar 31, 2023 | 236.12 Mn |
| Dec 31, 2022 | 254.13 Mn |
| Sep 30, 2022 | 273.44 Mn |
| Jun 30, 2022 | 285.12 Mn |
| Mar 31, 2022 | 188.73 Mn |
| Dec 31, 2021 | 207.82 Mn |
| Sep 30, 2021 | 235.93 Mn |
API Access
Parsons 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=intangibles&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();