Federal Signal (FSS) Amortization - Intangibles (2021 - 2026)
Federal Signal (FSS) recorded Amortization - Intangibles of $6.6 million in Q2 2026, up 46.7% from $4.5 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Federal Signal (FSS) Amortization - Intangibles (2021 - 2026) Analysis & Trends
On a TTM basis, Federal Signal's Amortization - Intangibles came in at $22.7 million as of Jun 30, 2026, up 38.4% year-over-year; for FY2025, it was $18.4 million, up 22.7% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $15 million in FY2024 (-1.3%), $15.2 million in FY2023 (+17.8%), $12.9 million in FY2022 (+18.3%) and $10.9 million in FY2021 (+13.5%).
- The Q2 2026 figure is the highest quarterly Amortization - Intangibles in data going back to Q1 2021.
- On a year-over-year basis, Amortization - Intangibles has increased for six consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 51.2% in Q1 2026, against a decline of 2.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.5 million (Q1 2026), $5.1 million (Q4 2025) and $4.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.60 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 5.10 Mn |
| Sep 30, 2025 | 4.50 Mn |
| Jun 30, 2025 | 4.50 Mn |
| Mar 31, 2025 | 4.30 Mn |
| Dec 31, 2024 | 3.80 Mn |
| Sep 30, 2024 | 3.80 Mn |
| Jun 30, 2024 | 3.80 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.80 Mn |
| Sep 30, 2023 | 3.90 Mn |
| Jun 30, 2023 | 3.90 Mn |
| Mar 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 3.30 Mn |
| Sep 30, 2022 | 3.10 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 2.80 Mn |
API Access
Federal Signal Amortization - Intangibles 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=amortization-intangibles&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "FSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();