Information Services (III) Operating Leases (2019 - 2026)
Information Services (III) posted Operating Leases of $8.33 million for Q2 2026, up 176.3% from $3.01 million a year earlier but down 3.3% from the prior quarter.
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Analysis
Information Services (III) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Information Services' Operating Leases came in at $9.01 million, up 163.7% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- In prior years, Information Services' Operating Leases was $3.42 million in FY2024 (-35.4%), $5.29 million in FY2023 (+8.9%), $4.86 million in FY2022 (+39.5%) and $3.48 million in FY2021 (-19.6%).
- Quarterly Operating Leases has run from a low of $2.37 million in Q3 2022 to a high of $9.3 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last four quarters, with growth averaging 69.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q2 2026, with growth of 176.3%; the weakest was Q4 2024, with a decline of 35.4%.
- According to Business Quant data, Operating Leases for the three prior quarters was $8.61 million (Q1 2026), $9.01 million (Q4 2025) and $9.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.33 Mn |
| Mar 31, 2026 | 8.61 Mn |
| Dec 31, 2025 | 9.01 Mn |
| Sep 30, 2025 | 9.30 Mn |
| Jun 30, 2025 | 3.01 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 3.42 Mn |
| Sep 30, 2024 | 3.95 Mn |
| Jun 30, 2024 | 4.28 Mn |
| Mar 31, 2024 | 4.74 Mn |
| Dec 31, 2023 | 5.29 Mn |
| Sep 30, 2023 | 3.59 Mn |
| Jun 30, 2023 | 4.07 Mn |
| Mar 31, 2023 | 4.46 Mn |
| Dec 31, 2022 | 4.86 Mn |
| Sep 30, 2022 | 2.37 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 3.05 Mn |
| Dec 31, 2021 | 3.48 Mn |
| Sep 30, 2021 | 3.23 Mn |
API Access
Information Services Operating Leases 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=operating-leases&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();