Gee (JOB) Interest Coverage Ratio (2022 - 2025)
Gee's (JOB) Interest Coverage Ratio came in at -6.29 for fiscal Q1 2026 (quarter ended Dec 31, 2025), compared with -11.71 a year earlier.
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Analysis
Gee (JOB) Interest Coverage Ratio (2022 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Interest Coverage Ratio at Gee was -75.14; for FY2025 (ended Sep 30, 2025), it was -76.01.
- In prior fiscal years, Gee's Interest Coverage Ratio was -81.59 in FY2024 and 6.05 in FY2023.
- Quarterly Interest Coverage Ratio has run from a low of -260.90 in fiscal Q2 2025 to a high of 10.44 in fiscal Q1 2023 over five years.
- According to Business Quant data, Interest Coverage Ratio for the three prior fiscal quarters was -11.71 (Q4 2025), -4.86 (Q3 2025) and -260.90 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 44.95 |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 26.05 |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 4.86 |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 21.44 |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 30.00 |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 17.00 |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -6.29 |
| Sep 30, 2025 | -11.71 |
| Jun 30, 2025 | -4.86 |
| Mar 31, 2025 | -260.90 |
| Dec 31, 2024 | -11.71 |
| Sep 30, 2024 | -20.56 |
| Jun 30, 2024 | -183.34 |
| Mar 31, 2024 | -29.97 |
| Dec 31, 2023 | -23.58 |
| Sep 30, 2023 | -7.14 |
| Jun 30, 2023 | 9.11 |
| Mar 31, 2023 | 9.51 |
| Dec 31, 2022 | 10.44 |
API Access
Gee Interest Coverage Ratio 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=interest-coverage-ratio&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();