Jubilant Flame International (JFIL) Total Liabilities (2011 - 2026)
Jubilant Flame International's Total Liabilities came in at $1.46 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 5.4% from $1.38 million a year earlier and up 1.6% from the prior quarter.
Jubilant Flame International (JFIL) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Jubilant Flame International's Total Liabilities was $1.44 million, up 4.9% from FY2025.
- Total Liabilities has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.37 million in FY2025 (+4.6%), $1.31 million in FY2024 (+5.3%), $1.24 million in FY2023 (+5.2%) and $1.18 million in FY2022 (+3.7%).
- The fiscal Q1 2027 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Year-over-year, Total Liabilities has increased for 32 consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 2.6% (fiscal Q3 2023) to 6.6% (fiscal Q3 2024).
- Business Quant data shows JFIL's Total Liabilities at $1.44 million (Q4 2026), $1.41 million (Q3 2026) and $1.39 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Jubilant Flame International | 32.98 Mn | 32.97 Mn | - | 1.46 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.46 Mn |
| Feb 28, 2026 | 1.44 Mn |
| Nov 30, 2025 | 1.41 Mn |
| Aug 31, 2025 | 1.39 Mn |
| May 31, 2025 | 1.38 Mn |
| Feb 28, 2025 | 1.37 Mn |
| Nov 30, 2024 | 1.36 Mn |
| Aug 31, 2024 | 1.33 Mn |
| May 31, 2024 | 1.33 Mn |
| Feb 29, 2024 | 1.31 Mn |
| Nov 30, 2023 | 1.30 Mn |
| Aug 31, 2023 | 1.27 Mn |
| May 31, 2023 | 1.26 Mn |
| Feb 28, 2023 | 1.24 Mn |
| Nov 30, 2022 | 1.22 Mn |
| Aug 31, 2022 | 1.21 Mn |
| May 31, 2022 | 1.20 Mn |
| Feb 28, 2022 | 1.18 Mn |
| Nov 30, 2021 | 1.19 Mn |
| Aug 31, 2021 | 1.16 Mn |
Jubilant Flame 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=JFIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JFIL", "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=JFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();