Parsons (PSN) Cash & Equivalents (2018 - 2026)
Parsons (PSN) reported Cash & Equivalents of $266.04 million for Q2 2026, down 35.3% from $411.33 million a year earlier and down 6.3% from the prior quarter.
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Analysis
Parsons (PSN) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Parsons posted Cash & Equivalents of $466.39 million, up 2.8% from FY2024.
- Cash & Equivalents has increased for three consecutive years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $453.55 million in FY2024 (+66.2%), $272.94 million in FY2023 (+4.0%), $262.54 million in FY2022 (-23.4%) and $342.61 million in FY2021 (-29.2%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q3 2023.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 16.0%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2024 (growth of 195.9%); the low point was Q2 2022 (a decline of 73.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $283.92 million (Q1 2026), $466.39 million (Q4 2025) and $422.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Parsons | 4.38 Bn | 3.06 Bn | 295.24 Mn | 266.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.04 Mn |
| Mar 31, 2026 | 283.92 Mn |
| Dec 31, 2025 | 466.39 Mn |
| Sep 30, 2025 | 422.55 Mn |
| Jun 30, 2025 | 411.33 Mn |
| Mar 31, 2025 | 269.75 Mn |
| Dec 31, 2024 | 453.55 Mn |
| Sep 30, 2024 | 558.82 Mn |
| Jun 30, 2024 | 528.46 Mn |
| Mar 31, 2024 | 423.12 Mn |
| Dec 31, 2023 | 272.94 Mn |
| Sep 30, 2023 | 205.41 Mn |
| Jun 30, 2023 | 178.59 Mn |
| Mar 31, 2023 | 220.44 Mn |
| Dec 31, 2022 | 262.54 Mn |
| Sep 30, 2022 | 147.54 Mn |
| Jun 30, 2022 | 125.98 Mn |
| Mar 31, 2022 | 285.62 Mn |
| Dec 31, 2021 | 342.61 Mn |
| Sep 30, 2021 | 275.51 Mn |
API Access
Parsons Cash & Equivalents 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-and-equivalents&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();