Geo (GEO) Receivables (2010 - 2026)
Geo (GEO) recorded Receivables of $531.85 million in Q2 2026, up 36.5% from $389.74 million a year earlier but down 7.2% from the prior quarter.
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Analysis
Geo (GEO) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Geo reported Receivables of $593.46 million, up 57.8% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $376.01 million in FY2024 (-3.6%), $390.02 million in FY2023 (-6.3%), $416.4 million in FY2022 (+11.9%) and $372.08 million in FY2021 (+0.8%).
- Quarterly Receivables has ranged from $334.04 million in Q3 2021 to $593.46 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for six consecutive quarters, with growth averaging 21.9% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 57.8% in Q4 2025, against a decline of 13.4% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $573.38 million (Q1 2026), $593.46 million (Q4 2025) and $452.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.69 Bn | 106.97 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 85.79 Bn | 84.87 Bn | 1.55 Bn | 1.59 Bn |
| 3 | Iron Mountain | 33.40 Bn | 32.59 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 17.18 Bn | 14.21 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 15.89 Bn | 15.43 Bn | 569.95 Mn | 238.99 Mn |
| 6 | UL Solutions | 14.82 Bn | 13.58 Bn | 417.00 Mn | 710.00 Mn |
| 7 | Aramark | 14.68 Bn | 12.63 Bn | 430.34 Mn | 2.58 Bn |
| 8 | Gartner | 14.39 Bn | 8.08 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.72 Bn | 4.24 Bn | - | - |
| 10 | Geo | 3.67 Bn | 3.28 Bn | - | 531.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 531.85 Mn |
| Mar 31, 2026 | 573.38 Mn |
| Dec 31, 2025 | 593.46 Mn |
| Sep 30, 2025 | 452.92 Mn |
| Jun 30, 2025 | 389.74 Mn |
| Mar 31, 2025 | 384.23 Mn |
| Dec 31, 2024 | 376.01 Mn |
| Sep 30, 2024 | 367.50 Mn |
| Jun 30, 2024 | 384.07 Mn |
| Mar 31, 2024 | 356.72 Mn |
| Dec 31, 2023 | 390.02 Mn |
| Sep 30, 2023 | 356.50 Mn |
| Jun 30, 2023 | 350.96 Mn |
| Mar 31, 2023 | 349.34 Mn |
| Dec 31, 2022 | 416.40 Mn |
| Sep 30, 2022 | 383.69 Mn |
| Jun 30, 2022 | 379.10 Mn |
| Mar 31, 2022 | 365.51 Mn |
| Dec 31, 2021 | 372.08 Mn |
| Sep 30, 2021 | 334.04 Mn |
API Access
Geo Receivables 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=receivables&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();