Parsons (PSN) Restructuring Costs (2019 - 2020)
Parsons' Restructuring Costs was $718,000 in Q4 2020, up 32.0% from $544,000 a year earlier and up 96.7% from the prior quarter.
Analysis
Parsons (PSN) Restructuring Costs (2019 - 2020) Analysis & Trends
For FY2020, Restructuring Costs at Parsons came in at $2.19 million, down 36.0% from FY2019.
- In earlier years, Restructuring Costs was $3.42 million in FY2019.
- Quarterly Restructuring Costs has moved between -$33,000 (Q1 2020) and $2.22 million (Q1 2019) over five years.
- Compared with a year earlier, Restructuring Costs has increased for three straight quarters.
- Per Business Quant data, PSN's Restructuring Costs in the three quarters before Q4 2020 was $365,000 (Q3 2020), $1.14 million (Q2 2020) and -$33,000 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 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 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Parsons | 4.45 Bn | 3.13 Bn | 295.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 718,000.00 |
| Sep 30, 2020 | 365,000.00 |
| Jun 30, 2020 | 1.14 Mn |
| Mar 31, 2020 | -33,000.00 |
| Dec 31, 2019 | 544,000.00 |
| Sep 30, 2019 | 309,000.00 |
| Jun 30, 2019 | 353,000.00 |
| Mar 31, 2019 | 2.22 Mn |
API Access
Parsons Restructuring Costs 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=restructuring-costs&ticker=PSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();