Citizens (CIA) Return on Sales [ROS] (2011 - 2026)
Citizens' Return on Sales [ROS] was -56.75% in Q2 2026, down 5.58 percentage points from -51.17% a year earlier but up 5.68 percentage points from the prior quarter.
Citizens (CIA) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Citizens' Return on Sales [ROS] was -56.44% through Jun 30, 2026, up 3.28 percentage points year-over-year; for FY2025, it came in at -57.73%, down 4.21 percentage points from FY2024.
- Return on Sales [ROS] has now declined for four consecutive years, though with a five-year change of +13.02 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -53.51% in FY2024 (-7.88 pp), -45.63% in FY2023 (-5.82 pp), -39.81% in FY2022 (-4.19 pp) and -35.61% in FY2021 (+35.13 pp).
- Quarterly Return on Sales [ROS] has moved between -76.45% (Q3 2021) and -11.45% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -4.17 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 59.30 percentage points); the worst was Q1 2025 (a drop of 26.42 percentage points).
- Per Business Quant data, CIA's Return on Sales [ROS] in the three quarters before Q2 2026 was -62.42% (Q1 2026), -45.19% (Q4 2025) and -63.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - | 11.89% |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - | 14.54% |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn | -30.76% |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - | 21.55% |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | -53.77% |
| 10 | Citizens | 183.14 Mn | 96.15 Mn | 26.66 Mn | -56.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -56.75% |
| Mar 31, 2026 | -62.42% |
| Dec 31, 2025 | -45.19% |
| Sep 30, 2025 | -63.36% |
| Jun 30, 2025 | -51.17% |
| Mar 31, 2025 | -75.26% |
| Dec 31, 2024 | -60.25% |
| Sep 30, 2024 | -54.17% |
| Jun 30, 2024 | -50.30% |
| Mar 31, 2024 | -48.84% |
| Dec 31, 2023 | -39.52% |
| Sep 30, 2023 | -55.70% |
| Jun 30, 2023 | -45.67% |
| Mar 31, 2023 | -42.18% |
| Dec 31, 2022 | -33.10% |
| Sep 30, 2022 | -46.12% |
| Jun 30, 2022 | -54.05% |
| Mar 31, 2022 | -42.25% |
| Dec 31, 2021 | -11.45% |
| Sep 30, 2021 | -76.45% |
Citizens Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=CIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();