Niocorp Developments (NB) Accumulated Expenses (2018 - 2026)
Niocorp Developments' Accumulated Expenses came in at $48,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), unchanged from $48,000 a year earlier.
Niocorp Developments (NB) Accumulated Expenses (2018 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Niocorp Developments' Accumulated Expenses data covers 15 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -44.0% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $48,000 in FY2025 (unchanged), $48,000 in FY2024 (-73.8%), $183,000 in FY2023 (-79.0%) and $873,000 in FY2022 (unchanged).
- The five-year range for quarterly Accumulated Expenses is $48,000 (fiscal Q1 2022) to $873,000 (fiscal Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Niocorp Developments | 421.97 Mn | -489.15 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48,000.00 |
| Jun 30, 2025 | 48,000.00 |
| Jun 30, 2024 | 48,000.00 |
| Mar 31, 2024 | 48,000.00 |
| Dec 31, 2023 | 48,000.00 |
| Sep 30, 2023 | 48,000.00 |
| Jun 30, 2023 | 183,000.00 |
| Dec 31, 2022 | 200,000.00 |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | 873,000.00 |
| Sep 8, 2021 | 48,000.00 |
| Jun 30, 2021 | 873,000.00 |
| Jun 30, 2020 | 48,000.00 |
| Jun 30, 2019 | 83,000.00 |
| Jun 30, 2018 | 83,000.00 |
Niocorp Developments 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=NB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NB", "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=NB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();