OR Royalties Inc. (OR) Accumulated Expenses (2014 - 2022)
OR Royalties (OR) reported Accumulated Expenses of $1.63 million for Q4 2017, up 246.1% from $470,808 a year earlier.
Analysis
OR Royalties Inc. (OR) Accumulated Expenses (2014 - 2022) Analysis & Trends
At the end of FY2017, OR Royalties posted Accumulated Expenses of $1.6 million, up 236.4% from FY2016.
- By year, Accumulated Expenses came in at $474,294 in FY2016.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 4.94 Mn |
| Sep 30, 2022 | 5.07 Mn |
| Jun 30, 2022 | 69.75 Mn |
| Mar 31, 2022 | 44.55 Mn |
| Dec 31, 2021 | 47.34 Mn |
| Sep 30, 2021 | 31.31 Mn |
| Jun 30, 2021 | 32.43 Mn |
| Mar 31, 2021 | 32.76 Mn |
| Dec 31, 2020 | 32.58 Mn |
| Sep 30, 2020 | 29.84 Mn |
| Jun 30, 2020 | 21.18 Mn |
| Mar 31, 2020 | 21.13 Mn |
| Dec 31, 2019 | 22.48 Mn |
| Sep 30, 2018 | 888,282.03 |
| Jun 30, 2018 | 1.06 Mn |
| Mar 31, 2018 | 1.69 Mn |
| Dec 31, 2017 | 1.65 Mn |
| Dec 31, 2016 | 465,941.03 |
| Dec 31, 2015 | 6.42 Mn |
| Dec 31, 2014 | 1.07 Mn |
API Access
OR Royalties Inc. 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=OR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "OR", "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=OR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();