Parsons (PSN) Consolidated Net Income (2018 - 2026)
Parsons (PSN) reported Consolidated Net Income of -$465,000 for Q2 2026, compared with $70.49 million a year earlier.
Parsons (PSN) Consolidated Net Income (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Parsons' Consolidated Net Income came in at $221.33 million, down 28.0% year-over-year; for FY2025, it came in at $308.86 million, up 6.3% from FY2024.
- Consolidated Net Income has increased for four consecutive years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- By year, Consolidated Net Income came in at $290.67 million in FY2024 (+39.8%), $207.92 million in FY2023 (+64.3%), $126.57 million in FY2022 (+42.3%) and $88.95 million in FY2021 (-25.2%).
- The Q2 2026 figure ranks as the lowest quarterly Consolidated Net Income in data going back to Q1 2018.
- Year over year, Consolidated Net Income gained in four of the last seven quarters, with growth averaging 11.7%.
- The high point for year-over-year Consolidated Net Income in five years was Q2 2023 (growth of 140.4%); the low point was Q3 2021 (a decline of 42.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $65.21 million (Q1 2026), $74.79 million (Q4 2025) and $81.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 2.36 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.25 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | -428.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 1.84 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 534.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 1.16 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 558.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 1.09 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 5.69 Bn |
| 10 | Parsons | 4.36 Bn | 3.04 Bn | 295.24 Mn | -465,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -465,000.00 |
| Mar 31, 2026 | 65.21 Mn |
| Dec 31, 2025 | 74.79 Mn |
| Sep 30, 2025 | 81.79 Mn |
| Jun 30, 2025 | 70.49 Mn |
| Mar 31, 2025 | 81.79 Mn |
| Dec 31, 2024 | 69.36 Mn |
| Sep 30, 2024 | 85.59 Mn |
| Jun 30, 2024 | 80.72 Mn |
| Mar 31, 2024 | 54.99 Mn |
| Dec 31, 2023 | 58.06 Mn |
| Sep 30, 2023 | 59.81 Mn |
| Jun 30, 2023 | 54.77 Mn |
| Mar 31, 2023 | 35.28 Mn |
| Dec 31, 2022 | 36.35 Mn |
| Sep 30, 2022 | 43.60 Mn |
| Jun 30, 2022 | 22.78 Mn |
| Mar 31, 2022 | 23.84 Mn |
| Dec 31, 2021 | 36.14 Mn |
| Sep 30, 2021 | 26.77 Mn |
Parsons Consolidated Net Income 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=consolidated-net-income&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();