Jubilant Flame International (JFIL) Operating Expenses (2011 - 2026)
Jubilant Flame International's Operating Expenses came in at $29,731 for fiscal Q1 2027 (quarter ended May 31, 2026), up 54.9% from $19,190 a year earlier and up 80.1% from the prior quarter.
Powered by 
Analysis
Jubilant Flame International (JFIL) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Jubilant Flame International reported Operating Expenses of $74,048, up 30.6% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $63,507, up 6.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of -5.5% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $59,672 in FY2025 (-11.4%), $67,365 in FY2024 (+9.5%), $61,545 in FY2023 (-22.4%) and $79,274 in FY2022 (-5.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2022.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 11.4% over the last seven quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 682.4%), and the weakest in fiscal Q4 2023 (a decline of 89.6%).
- Business Quant data shows JFIL's Operating Expenses at $16,509 (Q4 2026), $14,496 (Q3 2026) and $13,312 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Jubilant Flame International | 32.98 Mn | 32.97 Mn | - | 29,731.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 29,731.00 |
| Feb 28, 2026 | 16,509.00 |
| Nov 30, 2025 | 14,496.00 |
| Aug 31, 2025 | 13,312.00 |
| May 31, 2025 | 19,190.00 |
| Feb 28, 2025 | 13,302.00 |
| Nov 30, 2024 | 14,130.00 |
| Aug 31, 2024 | 10,069.00 |
| May 31, 2024 | 22,171.00 |
| Feb 29, 2024 | 15,624.00 |
| Nov 30, 2023 | 14,954.00 |
| Aug 31, 2023 | -12,943.00 |
| May 31, 2023 | 23,844.00 |
| Feb 28, 2023 | 14,774.00 |
| Nov 30, 2022 | 14,754.00 |
| Aug 31, 2022 | -14,104.00 |
| May 31, 2022 | 17,913.00 |
| Feb 28, 2022 | 142,631.00 |
| Nov 30, 2021 | -23,253.00 |
| Aug 31, 2021 | -18,333.00 |
API Access
Jubilant Flame International Operating Expenses 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=operating-expenses&ticker=JFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();