Gee (JOB) EV to EBITDA (2011 - 2024)
Gee's (JOB) EV to EBITDA was 100.32 for fiscal Q2 2024 (quarter ended Mar 31, 2024), compared with 3.81 a year earlier and up 727.0% from the prior quarter.
Powered by 
Analysis
Gee (JOB) EV to EBITDA (2011 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Gee's EV to EBITDA came in at -252.23; for FY2023 (ended Sep 30, 2023), it came in at 8.18, up 17.0% from FY2022.
- By fiscal year, EV to EBITDA came in at 6.99 in FY2022 (+324.8%), 1.65 in FY2021 and 5.45 in FY2019 (+93.5%).
- The fiscal Q2 2024 figure ranks as the highest quarterly EV to EBITDA in data going back to fiscal Q1 2012.
- Year over year, EV to EBITDA gained in four of the last six quarters, with growth averaging 86.4%.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q1 2020 (growth of 413.9%); the low point was fiscal Q2 2023 (a decline of 26.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2024 came in at 12.13 (Q1 2024), 8.18 (Q4 2023) and 6.59 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 100.32 |
| Dec 31, 2023 | 12.13 |
| Sep 30, 2023 | 8.18 |
| Jun 30, 2023 | 6.59 |
| Mar 31, 2023 | 3.81 |
| Dec 31, 2022 | 4.63 |
| Sep 30, 2022 | 6.99 |
| Jun 30, 2022 | 4.04 |
| Mar 31, 2022 | 5.15 |
| Dec 31, 2021 | 5.97 |
| Sep 30, 2021 | 1.65 |
| Jun 30, 2020 | -5.49 |
| Dec 31, 2019 | 3.12 |
| Sep 30, 2019 | 4.54 |
| Jun 30, 2019 | 2.75 |
| Mar 31, 2019 | 1.79 |
| Dec 31, 2018 | 0.61 |
| Sep 30, 2018 | 2.81 |
| Jun 30, 2018 | 2.68 |
| Mar 31, 2018 | 4.70 |
API Access
Gee EV to EBITDA 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=ev-to-ebitda&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "JOB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();