Gaia (GAIA) Return on Sales [ROS] (2010 - 2026)
Gaia's Return on Sales [ROS] was -13.78% in Q2 2026, down 4.87 percentage points from -8.92% a year earlier and down 7.91 percentage points from the prior quarter.
Gaia (GAIA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gaia's Return on Sales [ROS] was -6.66% through Jun 30, 2026, down 0.24 percentage points year-over-year; for FY2025, it came in at -5.16%, up 1.24 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +1.77 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -6.40% in FY2024 (-0.72 pp), -5.68% in FY2023 (-5.36 pp), -0.32% in FY2022 (-2.82 pp) and 2.49% in FY2021 (+9.42 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2020.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -0.58 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 4.52 percentage points); the worst was Q2 2023 (a drop of 9.53 percentage points).
- Per Business Quant data, GAIA's Return on Sales [ROS] in the three quarters before Q2 2026 was -5.87% (Q1 2026), -2.57% (Q4 2025) and -4.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 34.00% |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 13.71% |
| 10 | Gaia | 35.34 Mn | 3.05 Mn | 19.91 Mn | -13.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.78% |
| Mar 31, 2026 | -5.87% |
| Dec 31, 2025 | -2.57% |
| Sep 30, 2025 | -4.97% |
| Jun 30, 2025 | -8.92% |
| Mar 31, 2025 | -4.25% |
| Dec 31, 2024 | -7.09% |
| Sep 30, 2024 | -5.28% |
| Jun 30, 2024 | -9.12% |
| Mar 31, 2024 | -4.01% |
| Dec 31, 2023 | -7.21% |
| Sep 30, 2023 | -2.21% |
| Jun 30, 2023 | -8.09% |
| Mar 31, 2023 | -5.20% |
| Dec 31, 2022 | -2.90% |
| Sep 30, 2022 | -1.52% |
| Jun 30, 2022 | 1.44% |
| Mar 31, 2022 | 1.41% |
| Dec 31, 2021 | 0.67% |
| Sep 30, 2021 | 3.56% |
Gaia 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=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GAIA", "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=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();