Parsons (PSN) Non-Current Assets (2018 - 2026)
Parsons (PSN) posted Non-Current Assets of $416.2 million for Q2 2026, down 7.0% from $447.73 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Parsons (PSN) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Parsons' Non-Current Assets came in at $439.5 million, up 1.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In prior years, Parsons' Non-Current Assets was $431.48 million in FY2024 (-10.8%), $483.69 million in FY2023 (-1.6%), $491.66 million in FY2022 (-7.5%) and $531.26 million in FY2021 (-9.3%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets in data going back to Q4 2018.
- On a year-over-year basis, Non-Current Assets increased in two of the last eight quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2025, with growth of 1.9%; the weakest was Q2 2022, with a decline of 14.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $431 million (Q1 2026), $439.5 million (Q4 2025) and $433.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Parsons | 4.45 Bn | 3.13 Bn | 295.24 Mn | 416.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 416.20 Mn |
| Mar 31, 2026 | 431.00 Mn |
| Dec 31, 2025 | 439.50 Mn |
| Sep 30, 2025 | 433.20 Mn |
| Jun 30, 2025 | 447.73 Mn |
| Mar 31, 2025 | 429.08 Mn |
| Dec 31, 2024 | 431.48 Mn |
| Sep 30, 2024 | 465.81 Mn |
| Jun 30, 2024 | 462.32 Mn |
| Mar 31, 2024 | 475.19 Mn |
| Dec 31, 2023 | 483.69 Mn |
| Sep 30, 2023 | 481.71 Mn |
| Jun 30, 2023 | 492.60 Mn |
| Mar 31, 2023 | 493.50 Mn |
| Dec 31, 2022 | 491.66 Mn |
| Sep 30, 2022 | 487.82 Mn |
| Jun 30, 2022 | 523.44 Mn |
| Mar 31, 2022 | 539.80 Mn |
| Dec 31, 2021 | 531.26 Mn |
| Sep 30, 2021 | 554.37 Mn |
API Access
Parsons 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=non-current-assets&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();