Parsons (PSN) Operating Expenses (2018 - 2026)
Parsons' Operating Expenses was $260.2 million in Q2 2026, up 3.2% from $252.05 million a year earlier but down 2.9% from the prior quarter.
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Analysis
Parsons (PSN) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Parsons' Operating Expenses was $1.05 billion through Jun 30, 2026, up 4.1% year-over-year; for FY2025, it was $1.02 billion, up 6.4% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $955 million in FY2024 (+9.8%), $869.91 million in FY2023 (+11.9%), $777.4 million in FY2022 (+2.7%) and $757.24 million in FY2021 (+3.5%).
- Quarterly Operating Expenses has moved between $185.08 million (Q1 2022) and $267.9 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 7.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 21.5%); the worst was Q4 2025 (a decline of 1.8%).
- Per Business Quant data, PSN's Operating Expenses in the three quarters before Q2 2026 was $267.9 million (Q1 2026), $259.76 million (Q4 2025) and $260.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Parsons | 4.45 Bn | 3.13 Bn | 295.24 Mn | 260.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.20 Mn |
| Mar 31, 2026 | 267.90 Mn |
| Dec 31, 2025 | 259.76 Mn |
| Sep 30, 2025 | 260.17 Mn |
| Jun 30, 2025 | 252.05 Mn |
| Mar 31, 2025 | 244.06 Mn |
| Dec 31, 2024 | 264.60 Mn |
| Sep 30, 2024 | 246.17 Mn |
| Jun 30, 2024 | 223.28 Mn |
| Mar 31, 2024 | 220.95 Mn |
| Dec 31, 2023 | 237.51 Mn |
| Sep 30, 2023 | 221.19 Mn |
| Jun 30, 2023 | 211.90 Mn |
| Mar 31, 2023 | 199.31 Mn |
| Dec 31, 2022 | 195.43 Mn |
| Sep 30, 2022 | 196.96 Mn |
| Jun 30, 2022 | 199.93 Mn |
| Mar 31, 2022 | 185.08 Mn |
| Dec 31, 2021 | 190.25 Mn |
| Sep 30, 2021 | 191.23 Mn |
API Access
Parsons Operating Expenses 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=operating-expenses&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();