Parsons (PSN) Cash from Operations (2018 - 2026)
Parsons' Cash from Operations was $57.58 million in Q2 2026, down 64.0% from $159.8 million a year earlier.
Parsons (PSN) Cash from Operations (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Parsons' Cash from Operations was $384.25 million through Jun 30, 2026, down 33.0% year-over-year; for FY2025, it came in at $478.38 million, down 8.6% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $523.61 million in FY2024 (+28.4%), $407.7 million in FY2023 (+71.6%), $237.53 million in FY2022 (+15.5%) and $205.57 million in FY2021 (-28.9%).
- Quarterly Cash from Operations has moved between -$63.42 million (Q1 2024) and $299.03 million (Q3 2024) over five years.
- Compared with a year earlier, Cash from Operations was higher in two of the last six quarters, with an average decline of 10.8%.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2024 (growth of 601.7%); the worst was Q2 2026 (a decline of 64.0%).
- Per Business Quant data, PSN's Cash from Operations in the three quarters before Q2 2026 was -$3.7 million (Q1 2026), $167.52 million (Q4 2025) and $162.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 3.26 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.55 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.36 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 3.24 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 583.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.88 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 469.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.28 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.28 Bn |
| 10 | Parsons | 4.39 Bn | 3.06 Bn | 295.24 Mn | 57.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.58 Mn |
| Mar 31, 2026 | -3.70 Mn |
| Dec 31, 2025 | 167.52 Mn |
| Sep 30, 2025 | 162.85 Mn |
| Jun 30, 2025 | 159.80 Mn |
| Mar 31, 2025 | -11.79 Mn |
| Dec 31, 2024 | 126.77 Mn |
| Sep 30, 2024 | 299.03 Mn |
| Jun 30, 2024 | 161.23 Mn |
| Mar 31, 2024 | -63.42 Mn |
| Dec 31, 2023 | 190.13 Mn |
| Sep 30, 2023 | 203.58 Mn |
| Jun 30, 2023 | 22.98 Mn |
| Mar 31, 2023 | -8.99 Mn |
| Dec 31, 2022 | 89.16 Mn |
| Sep 30, 2022 | 123.03 Mn |
| Jun 30, 2022 | 51.05 Mn |
| Mar 31, 2022 | -25.71 Mn |
| Dec 31, 2021 | 89.86 Mn |
| Sep 30, 2021 | 77.25 Mn |
Parsons Cash from Operations 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=cash-from-operations&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();