Parsons (PSN) Retained Earnings (2018 - 2026)
Parsons (PSN) recorded Retained Earnings of $694.53 million in Q2 2026, up 28.2% from $541.97 million a year earlier but down 2.1% from the prior quarter.
Parsons (PSN) Retained Earnings (2018 - 2026) Analysis & Trends
At the end of FY2025, Parsons reported Retained Earnings of $661.17 million, up 54.9% from FY2024.
- Annual Retained Earnings has increased for three straight years.
- Across earlier years, Retained Earnings came in at $426.78 million in FY2024 (+109.5%), $203.72 million in FY2023 (+372.8%), $43.09 million in FY2022 and -$53.53 million in FY2021.
- Quarterly Retained Earnings has ranged from -$82.66 million in Q3 2021 to $709.73 million in Q1 2026 over the past five years.
- On a year-over-year basis, Retained Earnings has increased for 12 consecutive quarters, with growth averaging 144.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 27.5% in Q1 2024 to 959.1% in Q3 2023.
- Per Business Quant, the preceding three quarters came in at $709.73 million (Q1 2026), $661.17 million (Q4 2025) and $605.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 15.76 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 45.50 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 5.11 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Parsons | 4.78 Bn | 3.34 Bn | 295.24 Mn | 694.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 694.53 Mn |
| Mar 31, 2026 | 709.73 Mn |
| Dec 31, 2025 | 661.17 Mn |
| Sep 30, 2025 | 605.80 Mn |
| Jun 30, 2025 | 541.97 Mn |
| Mar 31, 2025 | 487.63 Mn |
| Dec 31, 2024 | 426.78 Mn |
| Sep 30, 2024 | 227.33 Mn |
| Jun 30, 2024 | 155.54 Mn |
| Mar 31, 2024 | 87.26 Mn |
| Dec 31, 2023 | 203.72 Mn |
| Sep 30, 2023 | 158.95 Mn |
| Jun 30, 2023 | 111.51 Mn |
| Mar 31, 2023 | 68.43 Mn |
| Dec 31, 2022 | 43.09 Mn |
| Sep 30, 2022 | 15.01 Mn |
| Jun 30, 2022 | -14.57 Mn |
| Mar 31, 2022 | -32.86 Mn |
| Dec 31, 2021 | -53.53 Mn |
| Sep 30, 2021 | -82.66 Mn |
Parsons Retained Earnings 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=retained-earnings&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();