Information Services (III) Receivables (2010 - 2026)
Information Services (III) recorded Receivables of $60.93 million in Q2 2026, down 20.4% from $76.5 million a year earlier but up 2.5% from the prior quarter.
Information Services (III) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Information Services reported Receivables of $73.9 million, down 4.2% from FY2024.
- Annual Receivables has declined for three straight years, with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $77.16 million in FY2024 (-31.3%), $112.29 million in FY2023 (-0.1%), $112.42 million in FY2022 (+35.5%) and $82.98 million in FY2021 (-7.1%).
- Quarterly Receivables has ranged from $59.45 million in Q1 2026 to $137.08 million in Q3 2023 over the past five years.
- On a year-over-year basis, Receivables has declined for three consecutive quarters, with an average decline of 21.9% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 40.0% in Q1 2023, against a decline of 47.0% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $59.45 million (Q1 2026), $73.9 million (Q4 2025) and $79.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 1.26 Bn |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 60.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.93 Mn |
| Mar 31, 2026 | 59.45 Mn |
| Dec 31, 2025 | 73.90 Mn |
| Sep 30, 2025 | 79.14 Mn |
| Jun 30, 2025 | 76.50 Mn |
| Mar 31, 2025 | 82.57 Mn |
| Dec 31, 2024 | 77.16 Mn |
| Sep 30, 2024 | 72.69 Mn |
| Jun 30, 2024 | 107.20 Mn |
| Mar 31, 2024 | 109.68 Mn |
| Dec 31, 2023 | 112.29 Mn |
| Sep 30, 2023 | 137.08 Mn |
| Jun 30, 2023 | 127.68 Mn |
| Mar 31, 2023 | 127.26 Mn |
| Dec 31, 2022 | 112.42 Mn |
| Sep 30, 2022 | 100.58 Mn |
| Jun 30, 2022 | 94.26 Mn |
| Mar 31, 2022 | 90.92 Mn |
| Dec 31, 2021 | 82.98 Mn |
| Sep 30, 2021 | 89.98 Mn |
Information Services 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=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "III", "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=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();