Geo (GEO) Non Operating Interest Expenses (2009 - 2026)
Geo (GEO) reported Non Operating Interest Expenses of $38.56 million for Q2 2026, down 8.0% from $41.91 million a year earlier but up 0.7% from the prior quarter.
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Analysis
Geo (GEO) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Geo's Non Operating Interest Expenses came in at $153.03 million, down 11.6% year-over-year; for FY2025, it came in at $160.52 million, down 15.8% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $190.62 million in FY2024 (-12.7%), $218.29 million in FY2023 (+32.7%), $164.55 million in FY2022 (+27.1%) and $129.46 million in FY2021 (+2.1%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $31.62 million in Q1 2022 and a high of $55.78 million in Q3 2023.
- Year over year, Non Operating Interest Expenses has now declined in each of the last ten quarters, with an average decline of 14.7% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2023 (growth of 71.6%); the low point was Q4 2024 (a decline of 18.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $38.3 million (Q1 2026), $37.94 million (Q4 2025) and $38.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 36.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 22.27 Mn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Geo | 3.56 Bn | 3.17 Bn | - | 38.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.56 Mn |
| Mar 31, 2026 | 38.30 Mn |
| Dec 31, 2025 | 37.94 Mn |
| Sep 30, 2025 | 38.23 Mn |
| Jun 30, 2025 | 41.91 Mn |
| Mar 31, 2025 | 42.44 Mn |
| Dec 31, 2024 | 43.19 Mn |
| Sep 30, 2024 | 45.50 Mn |
| Jun 30, 2024 | 50.64 Mn |
| Mar 31, 2024 | 51.30 Mn |
| Dec 31, 2023 | 53.21 Mn |
| Sep 30, 2023 | 55.78 Mn |
| Jun 30, 2023 | 55.05 Mn |
| Mar 31, 2023 | 54.26 Mn |
| Dec 31, 2022 | 53.17 Mn |
| Sep 30, 2022 | 46.54 Mn |
| Jun 30, 2022 | 33.23 Mn |
| Mar 31, 2022 | 31.62 Mn |
| Dec 31, 2021 | 33.04 Mn |
| Sep 30, 2021 | 32.53 Mn |
API Access
Geo Non Operating Interest 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=non-operating-interest-expenses&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();