Caseys General Stores (CASY) Non-Current Deffered Revenue (2010 - 2023)
Caseys General Stores (CASY) posted Non-Current Deffered Revenue of $11.8 million for Q1 2023, up 1.5% quarter-over-quarter from $11.7 million in Q4 2022, and down 15.82% YoY from $14.1 million in Q1 2022.
Caseys General Stores (CASY) Non-Current Deffered Revenue (2010 - 2023) Analysis & Trends
Caseys General Stores (CASY) has 14 years of Non-Current Deffered Revenue data on file, last reported at $11.8 million in Q1 2023.
- For the quarter ending Q1 2023, Non-Current Deffered Revenue fell 15.82% year-over-year to $11.8 million; the trailing twelve-month figure through Jan 2023 stood at $11.8 million (down 15.82% YoY), and the FY2022 full-year result was $12.7 million, down 15.56% from the prior year.
- Non-Current Deffered Revenue was $11.8 million for Q1 2023 at Caseys General Stores, up from $11.7 million in the prior quarter.
- In the past five years, Non-Current Deffered Revenue ranged from a high of $16.0 million in Q3 2019 to a low of $11.7 million in Q4 2022.
- A 5-year average of $14.4 million and a median of $14.6 million in 2021 frame the typical range for Non-Current Deffered Revenue.
- Across the five-year window, Non-Current Deffered Revenue gained 10.95% in 2021 and dropped 22.93% in 2022, its largest moves.
- Caseys General Stores' Non-Current Deffered Revenue stood at $15.8 million in 2019, then slipped by 9.35% to $14.4 million in 2020, then increased by 5.4% to $15.1 million in 2021, then dropped by 22.93% to $11.7 million in 2022, then climbed by 1.5% to $11.8 million in 2023.
- Per Business Quant data, the three most recent Non-Current Deffered Revenue figures were $11.8 million in Q1 2023, $11.7 million in Q4 2022, and $12.7 million in Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 21.62 Bn | 21.09 Bn | 1.24 Bn | - |
| 2 | Murphy USA | 9.34 Bn | 9.16 Bn | 746.50 Mn | - |
| 3 | Arko | 488.01 Mn | 296.14 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2023 | 11.84 Mn |
| Oct 31, 2022 | 11.67 Mn |
| Jul 31, 2022 | 12.67 Mn |
| Apr 30, 2022 | 12.75 Mn |
| Jan 31, 2022 | 14.07 Mn |
| Oct 31, 2021 | 15.14 Mn |
| Jul 31, 2021 | 15.16 Mn |
| Apr 30, 2021 | 15.09 Mn |
| Jan 31, 2021 | 14.64 Mn |
| Oct 31, 2020 | 14.37 Mn |
| Jul 31, 2020 | 14.43 Mn |
| Apr 30, 2020 | 13.60 Mn |
| Jan 31, 2020 | 15.89 Mn |
| Oct 31, 2019 | 15.85 Mn |
| Jul 31, 2019 | 16.03 Mn |
| Apr 30, 2019 | 15.88 Mn |
| Jan 31, 2019 | 15.57 Mn |
| Oct 31, 2018 | 15.58 Mn |
| Jul 31, 2018 | 16.10 Mn |
| Apr 30, 2018 | 15.93 Mn |
Caseys General Stores Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "ticker": "CASY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-deffered-revenue&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();