Sndl (SNDL) Total Non-Current Liabilities (2018 - 2026)
Sndl's Total Non-Current Liabilities came in at $153.67 million for Q2 2026, up 6.6% from $144.13 million a year earlier but down 4.3% from the prior quarter.
Sndl (SNDL) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Sndl's Total Non-Current Liabilities was $162.24 million, up 6.5% from FY2024.
- Going back by year, Total Non-Current Liabilities was $152.34 million in FY2024 (-14.2%), $177.61 million in FY2023 (+0.8%) and $176.13 million in FY2022.
- The five-year range for quarterly Total Non-Current Liabilities is $64.61 million (Q3 2021) to $329.17 million (Q1 2022).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 6.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 343.0%), and the weakest in Q3 2021 (a decline of 43.3%).
- Business Quant data shows SNDL's Total Non-Current Liabilities at $160.55 million (Q1 2026), $162.55 million (Q4 2025) and $149.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | 75.14 Bn |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | 61.07 Bn |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | 35.24 Bn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | 1.48 Bn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 30.64 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | 1.30 Bn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 924.39 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | 62.42 Mn |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 401.17 Mn |
| 10 | Sndl | 339.73 Mn | -304.39 Mn | 40.74 Mn | 153.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.67 Mn |
| Mar 31, 2026 | 160.55 Mn |
| Dec 31, 2025 | 162.55 Mn |
| Sep 30, 2025 | 149.53 Mn |
| Jun 30, 2025 | 144.13 Mn |
| Mar 31, 2025 | 143.46 Mn |
| Dec 31, 2024 | 149.31 Mn |
| Sep 30, 2024 | 166.88 Mn |
| Jun 30, 2024 | 175.46 Mn |
| Mar 31, 2024 | 181.14 Mn |
| Dec 31, 2023 | 176.02 Mn |
| Sep 30, 2023 | 190.18 Mn |
| Jun 30, 2023 | 192.52 Mn |
| Mar 31, 2023 | 195.31 Mn |
| Dec 31, 2022 | 168.69 Mn |
| Sep 30, 2022 | 286.24 Mn |
| Jun 30, 2022 | 285.22 Mn |
| Mar 31, 2022 | 329.17 Mn |
| Sep 30, 2021 | 64.61 Mn |
| Jun 30, 2021 | 326.21 Mn |
Sndl 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=SNDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SNDL", "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=SNDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();