Philip Morris International (PM) Total Liabilities (2009 - 2026)
Philip Morris International (PM) recorded Total Liabilities of $74.67 billion in Q3 2026, down 1.8% from $76.05 billion a year earlier and down 0.3% from the prior quarter.
Philip Morris International (PM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Philip Morris International reported Total Liabilities of $79.18 billion, up 10.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $71.65 billion in FY2024 (-4.1%), $74.75 billion in FY2023 (+9.9%), $67.99 billion in FY2022 (+37.4%) and $49.5 billion in FY2021 (-10.7%).
- The Q3 2026 figure is the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with growth averaging 1.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 46.8% in Q3 2023, against a decline of 10.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $74.93 billion (Q2 2026), $76.21 billion (Q1 2026) and $79.18 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 303.52 Bn | 280.52 Bn | 7.85 Bn | 74.67 Bn |
| 2 | British American Tobacco p.l.c | 132.82 Bn | 111.64 Bn | - | 82.04 Bn |
| 3 | Altria | 126.54 Bn | 113.47 Bn | 3.94 Bn | 36.70 Bn |
| 4 | Curaleaf Holdings | 2.37 Bn | 2.00 Bn | 170.48 Mn | 1.95 Bn |
| 5 | Trulieve Cannabis | 2.11 Bn | 729.12 Mn | 162.29 Mn | 1.31 Bn |
| 6 | RLX Technology | 1.96 Bn | -1.30 Bn | - | 314.17 Mn |
| 7 | Green Thumb Industries | 1.45 Bn | 214.02 Mn | 146.79 Mn | 986.29 Mn |
| 8 | Cronos | 1.30 Bn | -1.97 Bn | 28.45 Mn | 62.42 Mn |
| 9 | Turning Point Brands | 1.27 Bn | 375.50 Mn | 93.70 Mn | 401.17 Mn |
| 10 | Tilray Brands | 363.35 Mn | -604.15 Mn | 77.51 Mn | 704.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.67 Bn |
| Jun 30, 2026 | 74.93 Bn |
| Mar 31, 2026 | 76.21 Bn |
| Dec 31, 2025 | 79.18 Bn |
| Sep 30, 2025 | 76.05 Bn |
| Jun 30, 2025 | 78.52 Bn |
| Mar 31, 2025 | 74.01 Bn |
| Dec 31, 2024 | 71.65 Bn |
| Sep 30, 2024 | 74.61 Bn |
| Jun 30, 2024 | 73.72 Bn |
| Mar 31, 2024 | 73.88 Bn |
| Dec 31, 2023 | 74.75 Bn |
| Sep 30, 2023 | 70.63 Bn |
| Jun 30, 2023 | 69.83 Bn |
| Mar 31, 2023 | 69.11 Bn |
| Dec 31, 2022 | 67.99 Bn |
| Sep 30, 2022 | 48.12 Bn |
| Jun 30, 2022 | 48.22 Bn |
| Mar 31, 2022 | 49.94 Bn |
| Dec 31, 2021 | 49.50 Bn |
Philip Morris International Total 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-liabilities&ticker=PM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PM", "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-liabilities&ticker=PM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();