Geo (GEO) Total Current Liabilities (2010 - 2026)
Geo (GEO) recorded Total Current Liabilities of $384.03 million in Q2 2026, down 31.6% from $561.04 million a year earlier and down 3.6% from the prior quarter.
Geo (GEO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Geo reported Total Current Liabilities of $356.89 million, up 4.9% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $340.22 million in FY2024 (-22.2%), $437.46 million in FY2023 (+0.1%), $437.21 million in FY2022 (+15.4%) and $378.84 million in FY2021 (-7.9%).
- Quarterly Total Current Liabilities has ranged from $340.22 million in Q4 2024 to $561.04 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in four of the last eight quarters, with an average decline of 1.5%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 44.3% in Q2 2025, against a decline of 31.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $398.34 million (Q1 2026), $356.89 million (Q4 2025) and $422.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.12 Bn | 106.40 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 85.33 Bn | 84.41 Bn | 1.55 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.50 Bn | 32.69 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 17.25 Bn | 14.29 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 15.87 Bn | 15.42 Bn | 569.95 Mn | 938.10 Mn |
| 6 | UL Solutions | 14.79 Bn | 13.54 Bn | 417.00 Mn | 866.00 Mn |
| 7 | Aramark | 14.61 Bn | 12.56 Bn | 430.34 Mn | 3.00 Bn |
| 8 | Gartner | 14.27 Bn | 7.96 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.73 Bn | 4.24 Bn | - | -6.00 Mn |
| 10 | Geo | 3.69 Bn | 3.30 Bn | - | 384.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.03 Mn |
| Mar 31, 2026 | 398.34 Mn |
| Dec 31, 2025 | 356.89 Mn |
| Sep 30, 2025 | 422.63 Mn |
| Jun 30, 2025 | 561.04 Mn |
| Mar 31, 2025 | 388.77 Mn |
| Dec 31, 2024 | 340.22 Mn |
| Sep 30, 2024 | 441.64 Mn |
| Jun 30, 2024 | 388.86 Mn |
| Mar 31, 2024 | 420.93 Mn |
| Dec 31, 2023 | 437.46 Mn |
| Sep 30, 2023 | 433.33 Mn |
| Jun 30, 2023 | 347.21 Mn |
| Mar 31, 2023 | 396.10 Mn |
| Dec 31, 2022 | 437.21 Mn |
| Sep 30, 2022 | 427.43 Mn |
| Jun 30, 2022 | 389.21 Mn |
| Mar 31, 2022 | 408.37 Mn |
| Dec 31, 2021 | 378.84 Mn |
| Sep 30, 2021 | 420.61 Mn |
Geo Total 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-current-liabilities&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();