Upbound (UPBD) Restructuring Costs (2011 - 2023)
Upbound's Restructuring Costs was $32.5 million in Q4 2023, down 34.8% from $49.85 million a year earlier but up 11.8% from the prior quarter.
Analysis
Upbound (UPBD) Restructuring Costs (2011 - 2023) Analysis & Trends
For FY2023, Restructuring Costs at Upbound came in at $216.91 million, down 7.8% from FY2022.
- Restructuring Costs shows a five-year compound annual growth rate of 29.6% (FY2018 to FY2023).
- In earlier years, Restructuring Costs was $235.28 million in FY2022 (-18.8%), $289.91 million in FY2021 (+693.1%), $36.56 million in FY2020 and -$60.73 million in FY2019.
- Quarterly Restructuring Costs has moved between -$77.54 million (Q2 2019) and $127.57 million (Q1 2023) over five years.
- Compared with a year earlier, Restructuring Costs has declined for three straight quarters, with an average decline of 13.6% over the last eight quarters.
- The best year-over-year quarter for Restructuring Costs over five years was Q2 2021 (growth of 817.2%); the worst was Q1 2020 (a decline of 94.9%).
- Per Business Quant data, UPBD's Restructuring Costs in the three quarters before Q4 2023 was $29.06 million (Q3 2023), $27.79 million (Q2 2023) and $127.57 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Upbound | 915.30 Mn | 484.04 Mn | 594.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 32.50 Mn |
| Sep 30, 2023 | 29.06 Mn |
| Jun 30, 2023 | 27.79 Mn |
| Mar 31, 2023 | 127.57 Mn |
| Dec 31, 2022 | 49.85 Mn |
| Sep 30, 2022 | 61.62 Mn |
| Jun 30, 2022 | 53.67 Mn |
| Mar 31, 2022 | 70.15 Mn |
| Dec 31, 2021 | 77.82 Mn |
| Sep 30, 2021 | 88.32 Mn |
| Jun 30, 2021 | 72.65 Mn |
| Mar 31, 2021 | 51.12 Mn |
| Dec 31, 2020 | 28.79 Mn |
| Sep 30, 2020 | -1.86 Mn |
| Jun 30, 2020 | 7.92 Mn |
| Mar 31, 2020 | 1.70 Mn |
| Dec 31, 2019 | -19.42 Mn |
| Sep 30, 2019 | 2.86 Mn |
| Jun 30, 2019 | -77.54 Mn |
| Mar 31, 2019 | 33.37 Mn |
API Access
Upbound 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=UPBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "UPBD", "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=UPBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();