Fastly (FSLY) Exchange Rate Effect (2018 - 2026)
Fastly's (FSLY) quarterly Exchange Rate Effect came in at -$1000.0 in Q2 2026, down 100.56% year-over-year from $177000.0 in Q2 2025, and up 96.88% quarter-over-quarter from -$32000.0 in Q1 2026.
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Fastly (FSLY) Exchange Rate Effect (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported Exchange Rate Effect for 9 consecutive years, with -$1000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 100.56% year-over-year to -$1000.0 in Q2 2026; TTM through Jun 2026 was -$73000.0, a 134.27% decrease from a year earlier, with the FY2025 full-year figure at $215000.0, up 308.74% from the prior year.
- Exchange Rate Effect was -$1000.0 for Q2 2026 at Fastly, up from -$32000.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $469000.0 in Q2 2023 and troughed at -$219000.0 in Q1 2022.
- A 5-year average of $16500.0 and a median of -$10000.0 in 2024 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect sank 315.71% in 2024 and surged 1461.54% in 2025, its largest moves.
- Over 5 years, Exchange Rate Effect stood at $39000.0 in 2022, then soared by 79.49% to $70000.0 in 2023, then slumped by 315.71% to -$151000.0 in 2024, then soared by 95.36% to -$7000.0 in 2025, then surged by 85.71% to -$1000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$1000.0 (Q2 2026), -$32000.0 (Q1 2026), and -$7000.0 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | -1.00 Mn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | -34.00 Mn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | - |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | -5.00 Mn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 5.90 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 300,000.00 |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 6.25 Mn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | -1,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,000.00 |
| Mar 31, 2026 | -32,000.00 |
| Dec 31, 2025 | -7,000.00 |
| Sep 30, 2025 | -33,000.00 |
| Jun 30, 2025 | 177,000.00 |
| Mar 31, 2025 | 78,000.00 |
| Dec 31, 2024 | -151,000.00 |
| Sep 30, 2024 | 109,000.00 |
| Jun 30, 2024 | -13,000.00 |
| Mar 31, 2024 | -48,000.00 |
| Dec 31, 2023 | 70,000.00 |
| Sep 30, 2023 | -47,000.00 |
| Jun 30, 2023 | 469,000.00 |
| Mar 31, 2023 | 116,000.00 |
| Dec 31, 2022 | 39,000.00 |
| Sep 30, 2022 | -110,000.00 |
| Jun 30, 2022 | -100,000.00 |
| Mar 31, 2022 | -219,000.00 |
| Dec 31, 2021 | -94,000.00 |
| Sep 30, 2021 | -242,000.00 |
API Access
Fastly Exchange Rate Effect 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=exchange-rate-effect&ticker=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();