Laredo Oil (LRDC) EPS (Diluted) (2014 - 2026)
Laredo Oil's EPS (Diluted) was -$0.03 in fiscal Q4 2026 (quarter ended May 31, 2026), compared with -$0.02 a year earlier.
Analysis
Laredo Oil (LRDC) EPS (Diluted) (2014 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), EPS (Diluted) at Laredo Oil came in at -$0.10.
- In earlier fiscal years, EPS (Diluted) was -$0.04 in FY2025, -$0.05 in FY2024, -$0.14 in FY2023 and -$0.02 in FY2022.
- Quarterly EPS (Diluted) has moved between -$0.10 (fiscal Q4 2023) and $0.02 (fiscal Q1 2022) over five years.
- Per Business Quant data, LRDC's EPS (Diluted) in the three fiscal quarters before Q4 2026 was -$0.02 (Q3 2026), -$0.04 (Q2 2026) and -$0.01 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | 3.29 |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | 1.82 |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | 6.11 |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | 2.11 |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | 1.16 |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | 3.24 |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | 1.24 |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | 9.55 |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | 1.55 |
| 10 | Laredo Oil | 48.86 Mn | 47.19 Mn | - | -0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -0.03 |
| Feb 28, 2026 | -0.02 |
| Nov 30, 2025 | -0.06 |
| Aug 31, 2025 | -0.02 |
| May 31, 2025 | -0.03 |
| Feb 28, 2025 | -0.01 |
| Nov 30, 2024 | -0.01 |
| Aug 31, 2024 | -0.01 |
| May 31, 2024 | -0.01 |
| Feb 29, 2024 | 0.00 |
| Nov 30, 2023 | -0.01 |
| Aug 31, 2023 | -0.02 |
| May 31, 2023 | -0.10 |
| Feb 28, 2023 | -0.01 |
| Nov 30, 2022 | -0.01 |
| Aug 31, 2022 | -0.02 |
| May 31, 2022 | -0.01 |
| Feb 28, 2022 | -0.01 |
| Nov 30, 2021 | -0.01 |
| Aug 31, 2021 | 0.02 |
API Access
Laredo Oil 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=LRDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "LRDC", "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=LRDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();