Cibus (CBUS) Accumulated Expenses (2016 - 2023)
Cibus' Accumulated Expenses was $5.09 million in Q3 2023, compared with $380,000 a year earlier and up 1.1% from the prior quarter.
Analysis
Cibus (CBUS) Accumulated Expenses (2016 - 2023) Analysis & Trends
At the end of FY2022, Accumulated Expenses at Cibus came in at $173,000, down 49.0% from FY2021.
- Accumulated Expenses shows a five-year compound annual growth rate of -17.4% (FY2017 to FY2022).
- In earlier years, Accumulated Expenses was $339,000 in FY2021 (-88.3%), $2.89 million in FY2020 (+13.6%), $2.54 million in FY2019 (+26.8%) and $2.01 million in FY2018 (+347.0%).
- The Q3 2023 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2016.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last six quarters, with an average decline of 33.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2018 (growth of 347.0%); the worst was Q2 2022 (a decline of 88.7%).
- Per Business Quant data, CBUS's Accumulated Expenses in the three quarters before Q3 2023 was $5.04 million (Q2 2023), $1.05 million (Q1 2023) and $173,000 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn |
| 10 | Cibus | 124.57 Mn | 33.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 5.09 Mn |
| Jun 30, 2023 | 5.04 Mn |
| Mar 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 173,000.00 |
| Sep 30, 2022 | 380,000.00 |
| Jun 30, 2022 | 262,000.00 |
| Mar 31, 2022 | 379,000.00 |
| Dec 31, 2021 | 339,000.00 |
| Sep 30, 2021 | 1.14 Mn |
| Jun 30, 2021 | 2.33 Mn |
| Mar 31, 2021 | 3.06 Mn |
| Dec 31, 2020 | 2.89 Mn |
| Sep 30, 2020 | 4.26 Mn |
| Jun 30, 2020 | 2.00 Mn |
| Mar 31, 2020 | 2.09 Mn |
| Dec 31, 2019 | 2.54 Mn |
| Sep 30, 2019 | 1.96 Mn |
| Jun 30, 2019 | 1.99 Mn |
| Mar 31, 2019 | 1.61 Mn |
| Dec 31, 2018 | 2.01 Mn |
API Access
Cibus 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=CBUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CBUS", "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=CBUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();