Mitesco (MITI) EPS (Diluted) (2011 - 2026)
Mitesco (MITI) posted EPS (Diluted) of -$0.05 for Q2 2026, compared with -$0.01 a year earlier.
Analysis
Mitesco (MITI) EPS (Diluted) (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Mitesco was -$0.23; for FY2025, it was $0.02.
- In prior years, Mitesco's EPS (Diluted) was -$0.53 in FY2024, -$2.91 in FY2023, -$5.16 in FY2022 and -$0.13 in FY2021.
- Quarterly EPS (Diluted) has run from a low of -$2.58 in Q4 2022 to a high of $0.29 in Q3 2024 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$0.05 (Q1 2026), $0.01 (Q4 2025) and -$0.27 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 4.80 |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 2.27 |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | -0.48 |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 4.83 |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | -0.67 |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | -1.14 |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 2.38 |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 4.35 |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 0.52 |
| 10 | Mitesco | 1.26 Mn | 1.15 Mn | - | -0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.05 |
| Mar 31, 2026 | -0.05 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | -0.27 |
| Jun 30, 2025 | -0.01 |
| Mar 31, 2025 | 0.29 |
| Dec 31, 2024 | -0.63 |
| Sep 30, 2024 | 0.29 |
| Jun 30, 2024 | -0.13 |
| Mar 31, 2024 | -0.01 |
| Dec 31, 2023 | 0.14 |
| Sep 30, 2023 | -0.39 |
| Jun 30, 2023 | -1.75 |
| Mar 31, 2023 | -1.25 |
| Dec 31, 2022 | -2.58 |
| Sep 30, 2022 | -0.91 |
| Jun 30, 2022 | -0.05 |
| Mar 31, 2022 | -0.04 |
| Dec 31, 2021 | -0.06 |
| Sep 30, 2021 | -0.02 |
API Access
Mitesco EPS (Diluted) 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=eps-diluted&ticker=MITI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "MITI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=MITI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();