Citigroup (C) Restructuring Costs (2009 - 2025)
Citigroup (C) posted Restructuring Costs of -$4 million for Q4 2025, compared with -$11 million a year earlier.
Analysis
Citigroup (C) Restructuring Costs (2009 - 2025) Analysis & Trends
For FY2025, Citigroup's Restructuring Costs came in at -$14 million.
- In prior years, Citigroup's Restructuring Costs was $259 million in FY2024 (-66.8%) and $781 million in FY2023.
- Quarterly Restructuring Costs has run from a low of -$11 million in Q4 2024 to a high of $781 million in Q4 2023 over five years.
- According to Business Quant data, Restructuring Costs for the three prior quarters was -$5 million (Q3 2025), -$2 million (Q2 2025) and -$3 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -4.00 Mn |
| Sep 30, 2025 | -5.00 Mn |
| Jun 30, 2025 | -2.00 Mn |
| Mar 31, 2025 | -3.00 Mn |
| Dec 31, 2024 | -11.00 Mn |
| Sep 30, 2024 | 9.00 Mn |
| Jun 30, 2024 | 36.00 Mn |
| Mar 31, 2024 | 225.00 Mn |
| Dec 31, 2023 | 781.00 Mn |
| Jun 30, 2022 | -3.00 Mn |
| Mar 31, 2022 | 31.00 Mn |
| Mar 31, 2010 | -3.00 Mn |
| Dec 31, 2009 | -34.00 Mn |
| Sep 30, 2009 | -34.00 Mn |
| Jun 30, 2009 | -32.00 Mn |
| Mar 31, 2009 | -13.00 Mn |
API Access
Citigroup 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=C&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "C", "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=C&period=max&api_key=YOUR_API_KEY");
const data = await res.json();