Citigroup (C) Other Operating Expenses (2009 - 2026)
Citigroup's Other Operating Expenses was -$14.31 billion in Q2 2026, compared with -$14.74 billion a year earlier.
Citigroup (C) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Citigroup's Other Operating Expenses was -$58.92 billion through Jun 30, 2026; for FY2025, it came in at -$58.29 billion.
- In earlier years, Other Operating Expenses was -$65.28 billion in FY2024, -$52.72 billion in FY2023, -$1.64 billion in FY2022 and $14.87 billion in FY2021 (-32.4%).
- Quarterly Other Operating Expenses has moved between -$17.02 billion (Q3 2024) and $4.22 billion (Q4 2021) over five years.
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.45 Bn |
| Jun 30, 2026 | 1.27 Bn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 1.61 Bn |
| Sep 30, 2025 | 2.00 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 1.16 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.72 Bn |
| Mar 31, 2024 | 1.82 Bn |
| Dec 31, 2023 | -1.61 Bn |
| Sep 30, 2023 | 2.89 Bn |
| Jun 30, 2023 | 2.92 Bn |
| Mar 31, 2023 | 2.70 Bn |
| Dec 31, 2022 | -2.35 Bn |
| Sep 30, 2022 | 2.90 Bn |
| Jun 30, 2022 | 2.82 Bn |
| Mar 31, 2022 | 3.48 Bn |
| Dec 31, 2021 | 3.26 Bn |
Citigroup Other 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=other-operating-expenses&ticker=C&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=C&period=max&api_key=YOUR_API_KEY");
const data = await res.json();