Symbotic (SYM) EBITDA Margin (2021 - 2026)
Symbotic's EBITDA Margin was 5.99% in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 8.16 percentage points from -2.17% a year earlier and up 3.41 percentage points from the prior quarter.
Symbotic (SYM) EBITDA Margin (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Symbotic's EBITDA Margin was 1.46% through Jun 27, 2026, up 2.54 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it came in at -3.36%, up 2.01 percentage points from FY2024.
- EBITDA Margin has now increased for five consecutive fiscal years, with a five-year change of +110.28 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was -5.36% in FY2024 (+12.80 pp), -18.16% in FY2023 (+4.49 pp), -22.65% in FY2022 (+24.15 pp) and -46.80% in FY2021 (+66.84 pp).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA Margin in data going back to fiscal Q3 2021.
- Compared with a year earlier, EBITDA Margin has increased for three straight quarters, with an average year-over-year change of +4.27 percentage points over the last seven quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q1 2024 (a gain of 26.63 percentage points); the worst was fiscal Q4 2025 (a drop of 8.60 percentage points).
- Per Business Quant data, SYM's EBITDA Margin in the three fiscal quarters before Q3 2026 was 2.57% (Q2 2026), 2.42% (Q1 2026) and -6.00% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 28.95% |
| 10 | Symbotic | 25.36 Bn | 18.97 Bn | 160.91 Mn | 5.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.99% |
| Mar 28, 2026 | 2.57% |
| Dec 27, 2025 | 2.42% |
| Sep 27, 2025 | -6.00% |
| Jun 28, 2025 | -2.17% |
| Mar 29, 2025 | -1.70% |
| Dec 28, 2024 | -3.31% |
| Sep 28, 2024 | 2.60% |
| Jun 29, 2024 | -5.72% |
| Mar 30, 2024 | -15.70% |
| Dec 30, 2023 | -6.08% |
| Jun 24, 2023 | -12.99% |
| Mar 25, 2023 | -20.85% |
| Dec 24, 2022 | -32.71% |
| Jun 25, 2022 | -18.07% |
| Mar 26, 2022 | -29.77% |
| Dec 25, 2021 | -28.18% |
| Sep 25, 2021 | -32.94% |
| Jun 26, 2021 | -27.74% |
Symbotic EBITDA 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=ebitda-margin&ticker=SYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "SYM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();