Laredo Oil (LRDC) Accumulated Expenses (2009 - 2026)
Laredo Oil (LRDC) recorded Accumulated Expenses of $4.63 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 2.6% from $4.51 million a year earlier and up 4.1% from the prior quarter.
Laredo Oil (LRDC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Laredo Oil reported Accumulated Expenses of $4.44 million, up 0.8% from FY2025.
- Annual Accumulated Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 23.0% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $4.41 million in FY2025 (+25.0%), $3.53 million in FY2024 (+42.6%), $2.47 million in FY2023 (+39.5%) and $1.77 million in FY2022 (+12.5%).
- Quarterly Accumulated Expenses has ranged from $1.62 million in fiscal Q2 2022 to $4.99 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 18.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 44.5% in fiscal Q3 2024, against a decline of 22.9% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.44 million (Q4 2026), $4.99 million (Q3 2026) and $4.77 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | Laredo Oil | 44.46 Mn | 43.06 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.63 Mn |
| May 31, 2026 | 4.44 Mn |
| Feb 28, 2026 | 4.99 Mn |
| Nov 30, 2025 | 4.77 Mn |
| Aug 31, 2025 | 4.51 Mn |
| May 31, 2025 | 4.41 Mn |
| Feb 28, 2025 | 4.13 Mn |
| Nov 30, 2024 | 3.96 Mn |
| Aug 31, 2024 | 3.78 Mn |
| May 31, 2024 | 3.53 Mn |
| Feb 29, 2024 | 3.25 Mn |
| Nov 30, 2023 | 3.07 Mn |
| Aug 31, 2023 | 2.77 Mn |
| May 31, 2023 | 2.47 Mn |
| Feb 28, 2023 | 2.25 Mn |
| Nov 30, 2022 | 2.00 Mn |
| Aug 31, 2022 | 1.94 Mn |
| May 31, 2022 | 1.77 Mn |
| Feb 28, 2022 | 1.65 Mn |
| Nov 30, 2021 | 1.62 Mn |
Laredo Oil Accumulated 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=accumulated-expenses&ticker=LRDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LRDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();