Gee (JOB) Price to Earnings (2011 - 2024)
Gee's Price to Earnings came in at 7.06 for fiscal Q2 2024 (quarter ended Mar 31, 2024), down 53.6% from 15.23 a year earlier and down 6.4% from the prior quarter.
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Analysis
Gee (JOB) Price to Earnings (2011 - 2024) Analysis & Trends
For FY2023 (ended Sep 30, 2023), Gee's Price to Earnings was 6.98, up 89.8% from FY2022.
- Going back by fiscal year, Price to Earnings was 3.68 in FY2022 (-99.9%), 4645.54 in FY2021 and 1.74 in FY2020.
- The five-year range for quarterly Price to Earnings is 0.51 (fiscal Q3 2020) to 4645.54 (fiscal Q4 2021).
- Year-over-year, Price to Earnings increased in four of the last seven quarters, with growth averaging 106.4%.
- The fastest year-over-year change in Price to Earnings over five years came in fiscal Q2 2023 (growth of 380.8%), and the weakest in fiscal Q4 2022 (a decline of 99.9%).
- Business Quant data shows JOB's Price to Earnings at 7.54 (Q1 2024), 6.98 (Q4 2023) and 6.87 (Q3 2023) in the three fiscal quarters before Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 7.06 |
| Dec 31, 2023 | 7.54 |
| Sep 30, 2023 | 6.98 |
| Jun 30, 2023 | 6.87 |
| Mar 31, 2023 | 15.23 |
| Dec 31, 2022 | 15.64 |
| Sep 30, 2022 | 3.68 |
| Jun 30, 2022 | 2.54 |
| Mar 31, 2022 | 3.17 |
| Dec 31, 2021 | 3.83 |
| Sep 30, 2021 | 4,645.54 |
| Mar 31, 2021 | 1.31 |
| Dec 31, 2020 | 1.32 |
| Sep 30, 2020 | 1.74 |
| Jun 30, 2020 | 0.51 |
| Mar 31, 2017 | 33.00 |
| Dec 31, 2016 | 25.10 |
| Sep 30, 2016 | 41.82 |
| Dec 31, 2011 | 24.90 |
API Access
Gee Price to Earnings 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=price-to-earnings&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();