Jones Soda (JSDA) Return on Capital Employed [ROCE] (2009 - 2026)
Jones Soda (JSDA) recorded Return on Capital Employed [ROCE] of -149.00% in Q3 2026, up 63.28 percentage points from -212.28% a year earlier but down 36.83 percentage points from the prior quarter.
Jones Soda (JSDA) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2024, Jones Soda reported Return on Capital Employed [ROCE] of -341.74%, down 293.67 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] has a five-year change of -300.58 percentage points (FY2019 to FY2024).
- Across earlier years, Return on Capital Employed [ROCE] came in at -48.07% in FY2023 (+14.17 pp), -62.23% in FY2022 (-28.26 pp), -33.97% in FY2021 (+6.62 pp) and -40.59% in FY2020 (+0.56 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -1233.49% in Q1 2025 to -26.83% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -80.34 percentage points over the last seven quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 837.12 percentage points in Q1 2026, against a drop of 1154.53 percentage points in Q1 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 426.96 Bn | 415.44 Bn | 8.45 Bn | 18.32% |
| 2 | Diageo | 247.11 Bn | 229.26 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 202.87 Bn | 202.87 Bn | 37.08 Bn | - |
| 4 | Pepsico | 198.20 Bn | 156.16 Bn | 13.75 Bn | 19.41% |
| 5 | Anheuser-Busch InBev | 152.44 Bn | 152.44 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 90.94 Bn | 88.18 Bn | 1.40 Bn | 27.70% |
| 7 | Coca-Cola Europacific Partners | 53.25 Bn | 46.47 Bn | - | - |
| 8 | Keurig Dr Pepper | 49.46 Bn | 48.93 Bn | 3.53 Bn | 5.24% |
| 9 | Ambev | 43.50 Bn | 28.41 Bn | 2.14 Bn | 23.26% |
| 10 | Jones Soda | 30.25 Mn | 15.46 Mn | 4.72 Mn | -149.00% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -149.00% |
| Jun 30, 2026 | -112.17% |
| Mar 31, 2026 | -396.37% |
| Sep 30, 2025 | -212.28% |
| Jun 30, 2025 | -249.06% |
| Mar 31, 2025 | -1,233.49% |
| Dec 31, 2024 | -250.70% |
| Sep 30, 2024 | -99.50% |
| Jun 30, 2024 | -110.65% |
| Mar 31, 2024 | -78.96% |
| Dec 31, 2023 | -56.77% |
| Sep 30, 2023 | -54.09% |
| Jun 30, 2023 | -54.59% |
| Mar 31, 2023 | -54.18% |
| Dec 31, 2022 | -50.57% |
| Sep 30, 2022 | -40.31% |
| Jun 30, 2022 | -26.83% |
| Mar 31, 2022 | -32.69% |
| Dec 31, 2021 | -28.84% |
| Sep 30, 2021 | -21.39% |
Jones Soda Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=JSDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "JSDA", "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-capital-employed-%5Broce%5D&ticker=JSDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();