Parsons (PSN) Long-Term Investments (2018 - 2026)
Parsons (PSN) posted Long-Term Investments of $153.33 million for Q2 2026, up 1.7% from $150.72 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Parsons (PSN) Long-Term Investments (2018 - 2026) Analysis & Trends
At the end of FY2025, Parsons' Long-Term Investments came in at $148.64 million, up 7.1% from FY2024.
- Annual Long-Term Investments has increased for three consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, Parsons' Long-Term Investments was $138.76 million in FY2024 (+8.2%), $128.2 million in FY2023 (+19.3%), $107.43 million in FY2022 (-2.9%) and $110.69 million in FY2021 (+60.5%).
- Quarterly Long-Term Investments has run from a low of $99.42 million in Q3 2022 to a high of $194.52 million in Q3 2024 over five years.
- On a year-over-year basis, Long-Term Investments has increased in each of the last three quarters, with growth averaging 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q3 2023, with growth of 65.8%; the weakest was Q3 2025, with a decline of 19.6%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $162.3 million (Q1 2026), $148.64 million (Q4 2025) and $156.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 37.91 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.90 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 300.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 7.46 Bn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn | 153.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.33 Mn |
| Mar 31, 2026 | 162.30 Mn |
| Dec 31, 2025 | 148.64 Mn |
| Sep 30, 2025 | 156.42 Mn |
| Jun 30, 2025 | 150.72 Mn |
| Mar 31, 2025 | 142.25 Mn |
| Dec 31, 2024 | 138.76 Mn |
| Sep 30, 2024 | 194.52 Mn |
| Jun 30, 2024 | 157.24 Mn |
| Mar 31, 2024 | 145.04 Mn |
| Dec 31, 2023 | 128.20 Mn |
| Sep 30, 2023 | 164.86 Mn |
| Jun 30, 2023 | 118.86 Mn |
| Mar 31, 2023 | 107.42 Mn |
| Dec 31, 2022 | 107.43 Mn |
| Sep 30, 2022 | 99.42 Mn |
| Jun 30, 2022 | 115.48 Mn |
| Mar 31, 2022 | 114.23 Mn |
| Dec 31, 2021 | 110.69 Mn |
| Sep 30, 2021 | 102.68 Mn |
API Access
Parsons Long-Term Investments 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=long-term-investments&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();