APi (APG) Operating Margin (2019 - 2026)
APi's Operating Margin was 7.76% in Q2 2026, up 0.58 percentage points from 7.19% a year earlier and up 2.57 percentage points from the prior quarter.
APi (APG) Operating Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, APi's Operating Margin was 7.17% through Jun 30, 2026, up 0.61 percentage points year-over-year; for FY2025, it came in at 7.00%, up 0.11 percentage points from FY2024.
- Operating Margin has now increased for three consecutive years, with a five-year change of +11.63 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 6.90% in FY2024 (+1.71 pp), 5.18% in FY2023 (+2.71 pp), 2.47% in FY2022 (-0.98 pp) and 3.45% in FY2021 (+8.08 pp).
- Quarterly Operating Margin has moved between -0.48% (Q1 2022) and 7.82% (Q3 2025) over five years.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of +0.61 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2021 (a gain of 6.88 percentage points); the worst was Q3 2021 (a drop of 2.56 percentage points).
- Per Business Quant data, APG's Operating Margin in the three quarters before Q2 2026 was 5.20% (Q1 2026), 7.75% (Q4 2025) and 7.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 12.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.76% |
| Mar 31, 2026 | 5.20% |
| Dec 31, 2025 | 7.75% |
| Sep 30, 2025 | 7.82% |
| Jun 30, 2025 | 7.19% |
| Mar 31, 2025 | 4.89% |
| Dec 31, 2024 | 6.23% |
| Sep 30, 2024 | 7.78% |
| Jun 30, 2024 | 7.28% |
| Mar 31, 2024 | 6.25% |
| Dec 31, 2023 | 4.26% |
| Sep 30, 2023 | 5.83% |
| Jun 30, 2023 | 6.04% |
| Mar 31, 2023 | 4.52% |
| Dec 31, 2022 | 2.88% |
| Sep 30, 2022 | 3.52% |
| Jun 30, 2022 | 3.58% |
| Mar 31, 2022 | -0.48% |
| Dec 31, 2021 | 4.50% |
| Sep 30, 2021 | 3.92% |
APi Operating Margin 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-margin&ticker=APG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "APG", "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-margin&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();