Citigroup (C) Price to Earnings (2010 - 2026)
Citigroup's Price to Earnings came in at 14.61 for Q2 2026, up 32.2% from 11.05 a year earlier.
Analysis
Citigroup (C) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Citigroup's Price to Earnings was 14.27, up 36.4% from FY2024.
- Going back by year, Price to Earnings was 10.46 in FY2024 (-1.8%), 10.65 in FY2023 (+79.9%), 5.92 in FY2022 (+8.7%) and 5.45 in FY2021 (-53.2%).
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q3 2024.
- Year-over-year, Price to Earnings increased in three of the last seven quarters, with growth averaging 21.0%.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2024 (growth of 155.7%), and the weakest in Q4 2021 (a decline of 53.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Citigroup | 217.23 Bn | -2,082.64 Bn | 24.75 Bn |
| 2 | Bhp | 215.58 Bn | 159.38 Bn | - |
| 3 | Bank Of Nova Scotia | 112.36 Bn | -322.86 Bn | - |
| 4 | Nokia | 58.28 Bn | 58.28 Bn | 2.58 Bn |
| 5 | Haleon | 40.29 Bn | 33.48 Bn | - |
| 6 | Gold Fields | 32.31 Bn | 29.12 Bn | - |
| 7 | Sprott Physical Gold Trust | 14.84 Bn | 14.70 Bn | - |
| 8 | Sprott Physical Silver Trust | 11.90 Bn | 11.57 Bn | - |
| 9 | Magnum Ice Cream | 10.88 Bn | 9.56 Bn | - |
| 10 | Sprott Physical Gold & Silver Trust | 7.92 Bn | 7.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.61 |
| Dec 31, 2025 | 14.27 |
| Sep 30, 2025 | 12.36 |
| Jun 30, 2025 | 11.05 |
| Mar 31, 2025 | 9.91 |
| Dec 31, 2024 | 10.46 |
| Sep 30, 2024 | 14.82 |
| Jun 30, 2024 | 14.60 |
| Mar 31, 2024 | 15.09 |
| Dec 31, 2023 | 10.65 |
| Sep 30, 2023 | 5.80 |
| Jun 30, 2023 | 6.56 |
| Mar 31, 2023 | 6.03 |
| Dec 31, 2022 | 5.92 |
| Sep 30, 2022 | 5.21 |
| Jun 30, 2022 | 5.34 |
| Mar 31, 2022 | 5.66 |
| Dec 31, 2021 | 5.45 |
| Sep 30, 2021 | 6.03 |
| Jun 30, 2021 | 6.64 |
API Access
Citigroup Price to Earnings 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=price-to-earnings&ticker=C&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=C&period=max&api_key=YOUR_API_KEY");
const data = await res.json();