Fastly (FSLY) Return on Capital Employed [ROCE] (2019 - 2026)
Fastly (FSLY) recorded Return on Capital Employed [ROCE] of -6.02% in Q2 2026, up 7.10 percentage points from -13.12% a year earlier and up 1.78 percentage points from the prior quarter.
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Analysis
Fastly (FSLY) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Fastly reported Return on Capital Employed [ROCE] of -9.29%, up 2.85 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for six straight years, with a five-year change of +6.56 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -12.13% in FY2024 (+0.54 pp), -12.67% in FY2023 (+0.46 pp), -13.13% in FY2022 (+0.93 pp) and -14.06% in FY2021 (+1.79 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2019.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +2.54 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 7.10 percentage points in Q2 2026, against a drop of 3.62 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -7.80% (Q1 2026), -9.22% (Q4 2025) and -12.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 27.85% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 9.40% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -9.60% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 5.75% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | -2.94% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | -0.51% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 10.69% |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 25.57% |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | -6.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.02% |
| Mar 31, 2026 | -7.80% |
| Dec 31, 2025 | -9.22% |
| Sep 30, 2025 | -12.15% |
| Jun 30, 2025 | -13.12% |
| Mar 31, 2025 | -13.91% |
| Dec 31, 2024 | -12.37% |
| Sep 30, 2024 | -12.92% |
| Jun 30, 2024 | -14.00% |
| Mar 31, 2024 | -14.12% |
| Dec 31, 2023 | -13.80% |
| Sep 30, 2023 | -13.54% |
| Jun 30, 2023 | -12.98% |
| Mar 31, 2023 | -13.14% |
| Dec 31, 2022 | -14.08% |
| Sep 30, 2022 | -14.33% |
| Jun 30, 2022 | -12.87% |
| Mar 31, 2022 | -11.57% |
| Dec 31, 2021 | -10.86% |
| Sep 30, 2021 | -10.82% |
API Access
Fastly 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=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FSLY", "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=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();