VPR Brands (VPRB) Total Non-Current Liabilities (2021 - 2023)
VPR Brands (VPRB) reported Total Non-Current Liabilities of $553,438 for Q2 2023, up 3.3% from $535,856 a year earlier but down 11.7% from the prior quarter.
Powered by 
Analysis
VPR Brands (VPRB) Total Non-Current Liabilities (2021 - 2023) Analysis & Trends
At the end of FY2022, VPR Brands posted Total Non-Current Liabilities of $3.95 million, up 17.3% from FY2021.
- By year, Total Non-Current Liabilities came in at $3.37 million in FY2021.
- Five-year quarterly Total Non-Current Liabilities spans a low of $529,969 in Q3 2022 and a high of $3.95 million in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2023 came in at $626,563 (Q1 2023), $3.95 million (Q4 2022) and $529,969 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 307.33 Bn | 286.97 Bn | 7.66 Bn | 75.14 Bn |
| 2 | British American Tobacco p.l.c | 128.97 Bn | 105.33 Bn | - | 60.33 Bn |
| 3 | Altria | 123.30 Bn | 109.46 Bn | 3.82 Bn | 35.24 Bn |
| 4 | Trulieve Cannabis | 2.12 Bn | 741.64 Mn | 162.29 Mn | 1.30 Bn |
| 5 | Curaleaf Holdings | 2.12 Bn | 1.72 Bn | 169.91 Mn | 1.46 Bn |
| 6 | RLX Technology | 2.06 Bn | -1.70 Bn | 52.74 Mn | 30.64 Mn |
| 7 | Green Thumb Industries | 1.43 Bn | 279.53 Mn | 137.87 Mn | 923.80 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 389.03 Mn | 93.70 Mn | 401.17 Mn |
| 9 | Cronos | 1.27 Bn | -2.01 Bn | 28.45 Mn | 62.42 Mn |
| 10 | VPR Brands | 7.34 Mn | 1.85 Mn | 161,075.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -329,896.00 |
| Mar 31, 2023 | 626,563.00 |
| Dec 31, 2022 | 3.95 Mn |
| Sep 30, 2022 | 529,969.00 |
| Jun 30, 2022 | 535,856.00 |
| Dec 31, 2021 | 3.37 Mn |
API Access
VPR Brands Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VPRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VPRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=VPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();