Jubilant Flame International (JFIL) Return on Sales [ROS] (2010 - 2020)
Jubilant Flame International's Return on Sales [ROS] came in at -184416.67% for fiscal Q3 2021 (quarter ended Nov 30, 2020), down 184365.58 percentage points from -51.09% a year earlier and down 184045.73 percentage points from the prior quarter.
Powered by 
Analysis
Jubilant Flame International (JFIL) Return on Sales [ROS] (2010 - 2020) Analysis & Trends
For FY2020 (ended Feb 29, 2020), Jubilant Flame International's Return on Sales [ROS] was -205.82%, up 388.99 percentage points from FY2019.
- Going back by fiscal year, Return on Sales [ROS] was -594.81% in FY2019 (+10899.82 pp) and -11494.63% in FY2018.
- The fiscal Q3 2021 figure represents the lowest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2011.
- Year-over-year, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of -30922.15 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2020 (a gain of 13058.14 percentage points), and the weakest in fiscal Q3 2021 (a drop of 184365.58 percentage points).
- Business Quant data shows JFIL's Return on Sales [ROS] at -370.94% (Q2 2021), -239.69% (Q1 2021) and -47006.25% (Q4 2020) in the three fiscal quarters before Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 20.45% |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 18.38% |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 22.59% |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 4.26% |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Jubilant Flame International | 38.77 Mn | 38.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2020 | -184,416.67% |
| Aug 31, 2020 | -370.94% |
| May 31, 2020 | -239.69% |
| Feb 29, 2020 | -47,006.25% |
| Nov 30, 2019 | -51.09% |
| Aug 31, 2019 | -170.86% |
| May 31, 2019 | -406.67% |
| Feb 28, 2019 | -126.15% |
| Nov 30, 2018 | -390.95% |
| Aug 31, 2018 | -1,596.61% |
| May 31, 2018 | -13,464.81% |
| Nov 30, 2017 | -618.72% |
| Aug 31, 2017 | -462.61% |
| Feb 28, 2013 | 21.47% |
| Nov 30, 2012 | -419.41% |
| Aug 31, 2012 | -84.50% |
| May 31, 2012 | -15.06% |
| Nov 30, 2011 | -62.06% |
| Aug 31, 2011 | -167.63% |
| May 31, 2011 | -233.42% |
API Access
Jubilant Flame International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();