Parsons (PSN) Other Non-Current Assets (2018 - 2026)
Parsons (PSN) reported Other Non-Current Assets of $59.3 million for Q2 2026, up 5.1% from $56.44 million a year earlier and up 2.7% from the prior quarter.
Parsons (PSN) Other Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Parsons posted Other Non-Current Assets of $58.8 million, up 4.8% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $56.11 million in FY2024 (-21.8%), $71.77 million in FY2023 (+8.6%), $66.11 million in FY2022 (+43.3%) and $46.13 million in FY2021 (-17.7%).
- Five-year quarterly Other Non-Current Assets spans a low of $45.23 million in Q1 2022 and a high of $71.77 million in Q4 2023.
- Year over year, Other Non-Current Assets has now increased in each of the last four quarters, with an average decline of 7.1% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q1 2023 (growth of 45.5%); the low point was Q3 2021 (a decline of 24.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.74 million (Q1 2026), $58.8 million (Q4 2025) and $62.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.47 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 5.50 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 4.20 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 7.16 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 240.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 3.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 505.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.49 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.47 Bn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn | 59.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.30 Mn |
| Mar 31, 2026 | 57.74 Mn |
| Dec 31, 2025 | 58.80 Mn |
| Sep 30, 2025 | 62.03 Mn |
| Jun 30, 2025 | 56.44 Mn |
| Mar 31, 2025 | 56.57 Mn |
| Dec 31, 2024 | 56.11 Mn |
| Sep 30, 2024 | 54.95 Mn |
| Jun 30, 2024 | 71.75 Mn |
| Mar 31, 2024 | 71.00 Mn |
| Dec 31, 2023 | 71.77 Mn |
| Sep 30, 2023 | 66.91 Mn |
| Jun 30, 2023 | 68.57 Mn |
| Mar 31, 2023 | 65.80 Mn |
| Dec 31, 2022 | 66.11 Mn |
| Sep 30, 2022 | 54.21 Mn |
| Jun 30, 2022 | 53.26 Mn |
| Mar 31, 2022 | 45.23 Mn |
| Dec 31, 2021 | 46.13 Mn |
| Sep 30, 2021 | 45.62 Mn |
Parsons Other Non-Current Assets 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=other-non-current-assets&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();