Geo (GEO) Total Non-Current Liabilities (2010 - 2026)
Geo (GEO) recorded Total Non-Current Liabilities of $2.04 billion in Q2 2026, down 6.3% from $2.18 billion a year earlier and down 4.5% from the prior quarter.
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Analysis
Geo (GEO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Geo reported Total Non-Current Liabilities of $2.16 billion, down 1.9% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $2.2 billion in FY2024 (-5.1%), $2.32 billion in FY2023 (-7.8%), $2.52 billion in FY2022 (-27.5%) and $3.48 billion in FY2021 (+1.2%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2014.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 17 consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 8.8% in Q3 2021, against a decline of 30.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.14 billion (Q1 2026), $2.16 billion (Q4 2025) and $2.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.57 Bn | 106.86 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 86.38 Bn | 85.46 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 34.14 Bn | 33.33 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.31 Bn | 14.34 Bn | 703.00 Mn | 6.26 Bn |
| 5 | Rollins | 15.94 Bn | 15.49 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 14.66 Bn | 13.42 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 14.40 Bn | 8.09 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.74 Bn | 4.26 Bn | - | -6.00 Mn |
| 10 | Geo | 3.64 Bn | 3.25 Bn | - | 2.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 Bn |
| Mar 31, 2026 | 2.14 Bn |
| Dec 31, 2025 | 2.16 Bn |
| Sep 30, 2025 | 2.12 Bn |
| Jun 30, 2025 | 2.18 Bn |
| Mar 31, 2025 | 2.19 Bn |
| Dec 31, 2024 | 2.20 Bn |
| Sep 30, 2024 | 2.23 Bn |
| Jun 30, 2024 | 2.28 Bn |
| Mar 31, 2024 | 2.29 Bn |
| Dec 31, 2023 | 2.32 Bn |
| Sep 30, 2023 | 2.39 Bn |
| Jun 30, 2023 | 2.36 Bn |
| Mar 31, 2023 | 2.43 Bn |
| Dec 31, 2022 | 2.52 Bn |
| Sep 30, 2022 | 2.51 Bn |
| Jun 30, 2022 | 3.41 Bn |
| Mar 31, 2022 | 3.51 Bn |
| Dec 31, 2021 | 3.48 Bn |
| Sep 30, 2021 | 3.48 Bn |
API Access
Geo Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();