Information Services (III) Cost of Revenue (2009 - 2026)
Information Services' Cost of Revenue came in at $36.55 million for Q3 2026, up 1.4% from $36.03 million a year earlier and up 9.0% from the prior quarter.
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Analysis
Information Services (III) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Information Services reported Cost of Revenue of $138.65 million, down 0.5% year-over-year; for FY2025, it came in at $139.32 million, down 7.3% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $150.31 million in FY2024 (-16.0%), $178.91 million in FY2023 (+5.5%), $169.65 million in FY2022 (+0.7%) and $168.48 million in FY2021 (+12.4%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue since Q2 2024.
- Year-over-year, Cost of Revenue increased in two of the last eight quarters, with an average decline of 5.8%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2023 (growth of 11.9%), and the weakest in Q1 2025 (a decline of 17.3%).
- Business Quant data shows III's Cost of Revenue at $33.52 million (Q2 2026), $34.8 million (Q1 2026) and $33.77 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 433.14 Mn |
| 10 | Information Services | 292.82 Mn | 189.24 Mn | 28.55 Mn | 36.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.55 Mn |
| Jun 30, 2026 | 33.52 Mn |
| Mar 31, 2026 | 34.80 Mn |
| Dec 31, 2025 | 33.77 Mn |
| Sep 30, 2025 | 36.03 Mn |
| Jun 30, 2025 | 35.59 Mn |
| Mar 31, 2025 | 33.93 Mn |
| Dec 31, 2024 | 33.82 Mn |
| Sep 30, 2024 | 36.53 Mn |
| Jun 30, 2024 | 38.91 Mn |
| Mar 31, 2024 | 41.05 Mn |
| Dec 31, 2023 | 40.87 Mn |
| Sep 30, 2023 | 43.03 Mn |
| Jun 30, 2023 | 45.85 Mn |
| Mar 31, 2023 | 49.17 Mn |
| Dec 31, 2022 | 44.54 Mn |
| Sep 30, 2022 | 39.79 Mn |
| Jun 30, 2022 | 41.37 Mn |
| Mar 31, 2022 | 43.96 Mn |
| Dec 31, 2021 | 41.06 Mn |
API Access
Information Services Cost of Revenue 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=cost-of-revenue&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();