Parsons (PSN) Other Accumulated Expenses (2018 - 2025)
Parsons' Other Accumulated Expenses was $95.38 million in Q4 2025, up 20.8% from $78.95 million a year earlier.
Powered by 
Analysis
Parsons (PSN) Other Accumulated Expenses (2018 - 2025) Analysis & Trends
From Q4 2018 onward, Parsons has reported Other Accumulated Expenses for 8 quarters.
- Other Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $78.95 million in FY2024 (+1.6%), $77.67 million in FY2023 (+6.1%), $73.22 million in FY2022 (-20.8%) and $92.45 million in FY2021 (+5.3%).
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Parsons | 4.36 Bn | 3.04 Bn | 295.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 95.38 Mn |
| Dec 31, 2024 | 78.95 Mn |
| Dec 31, 2023 | 77.67 Mn |
| Dec 31, 2022 | 73.22 Mn |
| Dec 31, 2021 | 92.45 Mn |
| Dec 31, 2020 | 87.80 Mn |
| Dec 31, 2019 | 86.37 Mn |
| Dec 31, 2018 | 81.66 Mn |
API Access
Parsons Other Accumulated 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=other-accumulated-expenses&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();